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1 problem diagnosis
диагностика отказов
—
[Л.Г.Суменко. Англо-русский словарь по информационным технологиям. М.: ГП ЦНИИС, 2003.]Тематики
EN
Англо-русский словарь нормативно-технической терминологии > problem diagnosis
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2 problem diagnosis
Сетевые технологии: диагностика неисправностей, диагностика отказов -
3 problem diagnosis
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4 problem diagnosis
диагностика неисправностей; диагностика отказов -
5 diagnosis
диагноз
обнаружение ошибок
выявление неисправностей
—
[Л.Г.Суменко. Англо-русский словарь по информационным технологиям. М.: ГП ЦНИИС, 2003.]Тематики
Синонимы
EN
диагностика
Процедуры и системы, детектирующие и изолирующие ошибки и некорректно работающие устройства, сети и системы.
[ http://www.lexikon.ru/dict/net/index.html]
диагностика
(ITIL Service Operation)
Стадия жизненного цикла инцидента или проблемы. Назначение диагностики – найти обходное решение для инцидента или определить корневую причину проблемы.
[Словарь терминов ITIL версия 1.0, 29 июля 2011 г.]EN
diagnosis
(ITIL Service Operation)
A stage in the incident and problem lifecycles. The purpose of diagnosis is to identify a workaround for an incident or the root cause of a problem.
[Словарь терминов ITIL версия 1.0, 29 июля 2011 г.]Тематики
EN
Англо-русский словарь нормативно-технической терминологии > diagnosis
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6 diagnosis
noun, pl. diagnoses1) (of disease) Diagnose, die2) (of difficulty, fault) Feststellung, die* * *[-sis]- plural diagnoses [-si:z] - noun (a conclusion reached by diagnosing: What diagnosis did the doctor make?) die Diagnose* * *di·ag·no·sis<pl -ses>[ˌdaɪəgˈnəʊsɪs, AM -ˈnoʊ-, pl -si:z]nto make a \diagnosis eine Diagnose stellen* * *["daIəg'nəʊsɪs]n pl diagnoses["daɪəg'nəʊsiːz] Diagnose f* * *diagnosis [-ˈnəʊsıs] pl -ses [-siːz] s1. MED Diagnose f (auch fig):2. fig Beurteilung f* * *noun, pl. diagnoses1) (of disease) Diagnose, die2) (of difficulty, fault) Feststellung, die* * *(medicine) n.(§ pl.: diagnoses)= Diagnose -n f. -
7 diagnosis
to make a \diagnosis eine Diagnose stellen -
8 computer-aided diagnosis
Statsthe use of a computer program that presents a patient with a series of diagnostic questions designed to produce a diagnosis of a health problem -
9 prenatal diagnosis
prenatal diagnos (diagnos som fastställer att fostret har en sjukdom eller har av fysiologiska problem då fostret fortfarande är i moderns livmoder) -
10 psychological diagnosis
psykologisk diagnos (försök att urskilja olika element som utgör en persons karaktär för att kunna diagnostisera mentala problem) -
11 diagnostics
диагностика
Процедуры и системы, детектирующие и изолирующие ошибки и некорректно работающие устройства, сети и системы.
[ http://www.lexikon.ru/dict/net/index.html]
диагностика
(ITIL Service Operation)
Стадия жизненного цикла инцидента или проблемы. Назначение диагностики – найти обходное решение для инцидента или определить корневую причину проблемы.
[Словарь терминов ITIL версия 1.0, 29 июля 2011 г.]EN
diagnosis
(ITIL Service Operation)
A stage in the incident and problem lifecycles. The purpose of diagnosis is to identify a workaround for an incident or the root cause of a problem.
[Словарь терминов ITIL версия 1.0, 29 июля 2011 г.]Тематики
EN
диагностический анализ
Один из важнейших предварительных этапов в работе по созданию АСУ. Он состоит в выявлении достоинств и недостатков действующей системы управления и организации. Это необходимо для обоснования проекта и последовательности внедрения будущей автоматизированной системы управления. Д.а. включает, в частности, изучение действующего документооборота на предприятии, опрос коллектива, анализ показателей деятельности предприятия, а также подготовку предложений по совершенствованию технологии, организационной структуры, структуры кадров и т.д.
[ http://slovar-lopatnikov.ru/]Тематики
EN
техническая диагностика
Научно-технич. дисциплина, изуч. и устанавлив. признаки дефектов технич. объектов, а также методы и средства обнаружения и поиска дефектов. Осн. предмет т. д. — организация эффективной проверки исправности, работоспособности, правильности функционир. технич. объектов, т.е. поддержания их надежности.
[ http://metaltrade.ru/abc/a.htm]Тематики
EN
Англо-русский словарь нормативно-технической терминологии > diagnostics
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12 program
программа, см. тж application || программироватьa program is too big to fit in memory — программа не умещается в отведённой памяти ( машинное сообщение)
- program in- absolute program
- accessory program
- active program
- administration program
- application program
- A-program
- archive program
- assembler program
- assembler-program
- assembly language program
- assembly program
- automatic recovery program
- background program
- benchmark program
- binary program
- blue-ribbon program
- bootstrap program
- brittle program
- C++ program
- C++-program
- called program
- calling program
- cataloged program
- chain additions program
- chain maintenance program
- channel program
- check program
- checking program
- common program
- communication program
- compaction program
- compiled object program
- compiler program
- compiling program
- complete program
- compressor program
- computer program
- concordance program
- concurrent program
- concurrently running programs
- concurrent-scheduling supervisor program
- condensing program
- configuration program
- consulting program
- control program
- conversational program
- conversion program
- copy-protected program
- copyrighted program
- core-resident program
- correct program
- crash-proof program
- curve-fitting program
- data abstraction program
- data access program
- data flow program
- data set utility program
- data-vet program
- debugging program
- decision program
- development program
- diagnosis program
- diagnostic program
- digital simulation program
- disk-resident program
- editor program
- embedded program
- emulator program
- epistemic logic program
- executable program
- executive program
- exerciser program
- externally stored program
- fail-recognition program
- fault-diagnosis program
- fault-location program
- fine-grained program
- fixed program
- foreground program
- format program
- FORTRAN program
- FORTRAN-program
- fragmented programs
- free-standing program
- function program
- gap filling program
- general-purpose program
- generating program
- generator program
- graphic display program
- hardware program
- hardware-maintenance program
- help program
- heuristic program
- high frequency program
- high volume program
- host program
- illustrative program
- impenetrable program
- inactive program
- independent program
- initial input program
- initial loading program
- in-line program
- integer program
- interactive program
- interconsole message program
- internally stored program
- interpreter program
- interpretive program
- introspective program
- job control program
- job program
- knowledge-based program
- language-understanding program
- learning program
- librarian program
- library program
- license program
- linear program
- link-edited program
- load program
- load-and-go program
- loading program
- logical program
- logical relational program
- machine language program
- machine program
- macroassembly program
- macrogenerating program
- mail program
- main program
- manager program
- manufacturer programs
- map program
- mask-level digitization program
- master program
- mathematical program
- menu-driven program
- message control program
- message processing program
- micromodular program
- minimal access program
- minimum access program
- minimum latency program
- modular-sized program
- monitor program
- monitoring program
- monolithic program
- multisupplier program
- mutated program
- network control program
- networking program
- nonexpansible program
- nonprocedural program
- nucleus initialization program
- object program
- operating program
- optimally coded program
- overlay program
- overlays program
- packaged program
- paint program
- panel program
- PASCAL program
- PASCAL-program
- patched program
- placement program
- plugged program
- polling program
- pop-up program
- portable program
- position-independent program
- postedit program
- postmortem program
- precanned program
- precompiler program
- pre-edit program
- prewired program
- prime program program
- printed program
- print-intensive program
- problem-state program
- problem program
- procedural program
- processing program
- production program
- program for Windows
- program in assembler
- program in C++
- program in FORTRAN
- program in PASCAL
- proper program
- prototype program
- pseudoapplication program
- punched tape program
- read-in program
- real-world program
- reduction program
- reenterable program
- reentrant program
- relocatable program
- report program
- resident program
- restructuring program
- reusable program
- robot program
- robust program
- routine program
- routing program
- running program
- runtime program
- salvation program
- sample program
- scrutinous program
- segmented program
- self-adapting program
- self-contained program
- self-diagnostic program
- self-modification program
- self-modifying program
- self-monitoring program
- self-organizing program
- self-relocatable program
- self-relocating program
- self-resetting program
- self-test program
- self-triggering program
- sequence-scheduling supervisor program
- service program
- shareable program
- shell program
- simulation program
- slave program
- snapshot dump program
- snapshot trace program
- software program
- sort program
- sort/merge program
- sorting program
- source language program
- source program
- spaghetti program
- specific program
- spreadsheet program
- stand-alone program
- standard program
- standby program
- start-up program
- steering program
- stored program
- structured program
- subject program
- superconsistent program
- supervisor program
- supervisory program
- support program
- surface program
- suspended program
- symbolic program
- system program
- systems program
- tape-to-printer program
- teaching program
- test program
- throwaway program
- total-load program
- trace program
- trace-interpretive program
- tracing program
- tracking program
- transaction program
- translating program
- translation program
- translator program
- troubleshooting program
- TSR program
- unmaintable program
- unreadable program
- updated program
- user program
- utility program
- wavelet program
- wired-in programEnglish-Russian dictionary of computer science and programming > program
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13 report
отчёт; доклад; сообщение; рапорт || докладывать; отчитываться; сообщать
* * *
отчёт; донесение; сообщение; докладfailed equipment discrepancy report — отчёт об отклонении неисправного оборудования от технических условий
reliability engineering analysis report — сообщение о результатах исследования технического обеспечения надёжности
reliability problem area report — сообщение о проблемах, связанных с обеспечением надёжности
* * *
отчет, доклад
* * *
доклад, отчет, сообщение; докладывать, сообщать
* * *
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14 diagnose
['daɪəgnəʊz] [AE ˌdaɪəg'nəʊs]1) med. diagnosticarehe was diagnosed (as a) diabetic, as having Aids — gli diagnosticarono il diabete, l'AIDS
2) fig. diagnosticare, individuare [ problem]* * *(to say what is wrong (with a sick person etc) after making an examination; to identify (an illness etc): The doctor diagnosed her illness as flu.) diagnosticare* * *['daɪəgnəʊz] [AE ˌdaɪəg'nəʊs]1) med. diagnosticarehe was diagnosed (as a) diabetic, as having Aids — gli diagnosticarono il diabete, l'AIDS
2) fig. diagnosticare, individuare [ problem] -
15 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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16 on
состояние "включено", включенный, "включено"
– on position
– on state
– on the run
– on time
– on-board control
– on-board controls
– on-line
– on-line adjustment
– on-line control
– on-line data
– on-line decision-making
– on-line diagnosis
– on-line environment
– on-line input
– on-line learning
– on-line mode
– on-line modeling
– on-line operation
– on-line problem solving
– on-line processing
– on-line production unit
– on-line programming
– on-line regime
– on-line simulation
– on-line system
– on-line test
– on-off
– on-off conditions
– on-off control
– on-off sensor
– on-off servo
– on-off signal
– on-off switch
– on-site
– on-the-fly
– on-the-job performance
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17 life cycle
- цикл долговечности (оборудования)
- рабочий ресурс
- период существования
- жизненный цикл продукции
- жизненный цикл ИЭУ [системы автоматизации подстанции]
- жизненный цикл (информационные технологии)
- жизненный цикл (в экологическом менеджменте)
- жизненный цикл
жизненный цикл
Период времени от начала проектирования машины и (или) оборудования до завершения утилизации, включающий взаимосвязанные стадии (проектирование, производство, хранение, монтаж, наладка, эксплуатация, в том числе модернизация, ремонт, техническое и сервисное обслуживание).
[Технический регламент о безопасности машин и оборудования]Параллельные тексты EN-RU
Lennox contribution to counter rising energy costs was to develop BALTIC™ the most efficient rooftop unit designed to provide the best and lowest life cycle cost [Lennox]
Вкладом компании Lennox в борьбу с ростом цен на энергоносители явилась разработка кондиционера BALTIC™ - наиболее эффективного крышного кондиционера, имеющего самый низкий по стоимости и самый продолжительный жизненный цикл. [ Перевод Интент]
Тематики
EN
жизненный цикл (в экологическом менеджменте)
Последовательные и взаимосвязанные стадии продукционной системы от получения сырья или природных ресурсов до конечного размещения в окружающей среде.
[ http://www.14000.ru/glossary/main.php?PHPSESSID=25e3708243746ef7c85d0a8408d768af]EN
life cycle
Consecutive and interlinked stages of a product system, from raw material acquisition or generation of natural resources to the final disposal.
[ISO 14040]Тематики
EN
жизненный цикл
Совокупность всех стадий жизни продукта - от разработки концепции до прекращения эксплуатации.
[ http://www.morepc.ru/dict/]
жизненный цикл
Различные стадии в жизни ИТ-услуги, конфигурационной единицы, инцидента, проблемы, изменения и т.д. Жизненный цикл определяет категории для статуса и разрешенные переходы между статусами. Например:
• Жизненный цикл приложения включает в себя формирование требований, проектирование, сборку, развёртывание, эксплуатацию, оптимизацию.
• Расширенный жизненный цикл инцидента включает в себя обнаружение, реакцию, диагностику, исправление, восстановление и возобновление.
• Жизненный цикл сервера может включать в себя заказ, получение, тестирование, промышленную эксплуатацию, вывод из эксплуатации и т.д.
[Словарь терминов ITIL версия 1.0, 29 июля 2011 г.]EN
lifecycle
The various stages in the life of an IT service, configuration item, incident, problem, change etc. The lifecycle defines the categories for status and the status transitions that are permitted. For example:
• The lifecycle of an application includes requirements, design, build, deploy, operate, optimize
• The expanded incident lifecycle includes detection, diagnosis, repair, recovery and restoration
• The lifecycle of a server may include: ordered, received, in test, live, disposed etc.
[Словарь терминов ITIL версия 1.0, 29 июля 2011 г.]Тематики
EN
жизненный цикл ИЭУ [системы автоматизации подстанции]
Стадии создания и работы интеллектуального электронного устройства [системы автоматизации подстанции] с учетом всех фаз. Примечание. Применительно к системам автоматизации подстанции понятие жизненный цикл имеет два независимых значения: - жизненный цикл изготовителя - период от начала производства вновь разработанного продукта семейства системы автоматизации подстанции до прекращения поддержки этой номенклатуры интеллектуальных электронных устройств; - жизненный цикл заказчика - период с начала проектирования системы автоматизации подстанции, основанной на определенном семействе продуктов, до снятия с эксплуатации последнего оборудования системы автоматизации подстанции, включающего продукты этого семейства.
[ ГОСТ Р 54325-2011 (IEC/TS 61850-2:2003)]EN
life cycle
of an IED or system, covers all phases from the feasibility/concept phase through to the final decommissioning phase
[IEC 61850-2, ed. 1.0 (2003-08)]Тематики
EN
период существования
(напр. угольных частиц в зоне горения топки котла)
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
EN
цикл долговечности (оборудования)
жизненный цикл
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
Синонимы
EN
4.16 жизненный цикл (life cycle): Развитие системы, продукта, услуги, проекта или других изготовленных человеком объектов, начиная со стадии разработки концепции и заканчивая прекращением применения.
Источник: ГОСТ Р ИСО/МЭК 12207-2010: Информационная технология. Системная и программная инженерия. Процессы жизненного цикла программных средств оригинал документа
3.11 жизненный цикл продукции (life cycle): Последовательные и взаимосвязанные стадии системы жизненного цикла продукции от приобретения или производства из природных ресурсов сырья до конечного размещения в окружающей среде (в виде отходов, сбросов и выбросов).
3.2 жизненный цикл (life cycle): Последовательные или взаимосвязанные стадии системы производства и эксплуатации продукции от приобретения сырья или разработки природных ресурсов до утилизации.
3.3
Источник: ГОСТ Р 14.08-2005: Экологический менеджмент. Порядок установления аспектов окружающей среды в стандартах на продукцию (ИСО/МЭК 64) оригинал документа
3.1.8 жизненный цикл (life cycle): Последовательные и взаимосвязанные стадии существования продукционной системы от приобретения сырьевых материалов или разработки природных ресурсов до утилизации продукции (ГОСТ Р ИСО 14040).
Источник: ГОСТ Р ИСО 14021-2000: Этикетки и декларации экологические. Самодекларируемые экологические заявления (экологическая маркировка по типу II) оригинал документа
3.1 жизненный цикл (life cycle): Последовательные и взаимосвязанные стадии системы жизненного цикла продукции от приобретения или производства из природных ресурсов или сырья до окончательного размещения в окружающей среде.
Источник: ГОСТ Р ИСО 14040-2010: Экологический менеджмент. Оценка жизненного цикла. Принципы и структура оригинал документа
3.1 жизненный цикл (life cycle): Последовательные и взаимосвязанные стадии системы жизненного цикла продукции (58) от приобретения или производства из природных ресурсов или сырья до конечного размещения в окружающей среде (в виде отходов, сбросов и выбросов)
Источник: ГОСТ Р ИСО 14044-2007: Экологический менеджмент. Оценка жизненного цикла. Требования и рекомендации оригинал документа
3.42 жизненный цикл (life cycle): Ряд различимых фаз и этапов в пределах фаз, через которые проходит сущность (объект) от ее создания до окончания своего существования.
Источник: ГОСТ Р ИСО 19439-2008: Интеграция предприятия. Основа моделирования предприятия оригинал документа
7.1 жизненный цикл (life cycle): Последовательные и взаимосвязанные стадии системы жизненного цикла продукции (6.1) от приобретения или производства продукции из природных ресурсов, сырья (6.12) до ее конечного размещения в окружающей среде.
[ИСО 14040:2006]
Источник: ГОСТ Р ИСО 14050-2009: Менеджмент окружающей среды. Словарь оригинал документа
3.26 жизненный цикл (life cycle): Набор различимых фаз и этапов в пределах фаз, через которые проходит сущность предприятия от своего создания до прекращения существования.
Источник: ГОСТ Р 54136-2010: Системы промышленной автоматизации и интеграция. Руководство по применению стандартов, структура и словарь оригинал документа
3.19 жизненный цикл (life cycle): Период времени от этапа концепции до этапа распоряжения продукцией.
Источник: ГОСТ Р 51901.3-2007: Менеджмент риска. Руководство по менеджменту надежности оригинал документа
Англо-русский словарь нормативно-технической терминологии > life cycle
-
18 lifecycle
жизненный цикл
Совокупность всех стадий жизни продукта - от разработки концепции до прекращения эксплуатации.
[ http://www.morepc.ru/dict/]
жизненный цикл
Различные стадии в жизни ИТ-услуги, конфигурационной единицы, инцидента, проблемы, изменения и т.д. Жизненный цикл определяет категории для статуса и разрешенные переходы между статусами. Например:
• Жизненный цикл приложения включает в себя формирование требований, проектирование, сборку, развёртывание, эксплуатацию, оптимизацию.
• Расширенный жизненный цикл инцидента включает в себя обнаружение, реакцию, диагностику, исправление, восстановление и возобновление.
• Жизненный цикл сервера может включать в себя заказ, получение, тестирование, промышленную эксплуатацию, вывод из эксплуатации и т.д.
[Словарь терминов ITIL версия 1.0, 29 июля 2011 г.]EN
lifecycle
The various stages in the life of an IT service, configuration item, incident, problem, change etc. The lifecycle defines the categories for status and the status transitions that are permitted. For example:
• The lifecycle of an application includes requirements, design, build, deploy, operate, optimize
• The expanded incident lifecycle includes detection, diagnosis, repair, recovery and restoration
• The lifecycle of a server may include: ordered, received, in test, live, disposed etc.
[Словарь терминов ITIL версия 1.0, 29 июля 2011 г.]Тематики
EN
Англо-русский словарь нормативно-технической терминологии > lifecycle
-
19 limited primary care
ограниченная первая помощь
Помощь, которая оказывается врачами во время первого полноценного осмотра пациента с любыми недиагностированными симптомами или проблемами здоровья и не ограничивается установлением причин заболевания, затронутых систем органов и диагностикой.
[Департамент лингвистических услуг Оргкомитета «Сочи 2014». Глоссарий терминов]EN
limited primary care
Care provided by physicians during first comprehensive contact for persons with any undiagnosed sign, symptom, or health concern, not limited by problem origin, organ system, or diagnosis.
[Департамент лингвистических услуг Оргкомитета «Сочи 2014». Глоссарий терминов]Тематики
EN
Англо-русский словарь нормативно-технической терминологии > limited primary care
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