简略
发表于 2025-3-23 13:27:01
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MENT
发表于 2025-3-23 14:37:45
Lecture Notes in Electrical Engineeringe nature of any data analysis to be carried out..By reviewing the literature in the area, this paper attempts to categorise the main types of dependency. Methods of identification of dependency are examined. This is done primarily through data analysis. Ways of incorporating dependency into model-building are also described.
配偶
发表于 2025-3-23 20:16:10
Maoying Qiao,Jun Cheng,Wenchuang Zhaot advances in measuring the importance of system components. A general methodology that incorporates these features is presented. We will also introduce some concepts concerning availability importance useful for repairable systems.
憎恶
发表于 2025-3-23 22:55:09
Andrey A. Radionov,Vadim R. Gasiyarov is asessed. This is intended to allow the identification of those parts of a task which are only weakly supported by an operator’s background knowledge and where for example additional training and/or improved documentation could be introduced to greatest effect.
蜡烛
发表于 2025-3-24 05:40:06
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pacific
发表于 2025-3-24 07:29:56
L. S. Kazarinov,T. A. Barbasova,E. V. Rozhkoicality of such techniques, compared with existing task analysis techniques, when applied in the design of complex systems. Suggestions are given for the future development of effective cognitive task analysis techniques.
Ancillary
发表于 2025-3-24 13:19:32
https://doi.org/10.1007/978-3-031-22311-2e Duane, Weibull process, IBM, Aroef, Lloyd-Lipow and Arinc. The reliability growth phenomena is reviewed and the validity of different reliability growth models for field reliability prediction is assessed.
Fissure
发表于 2025-3-24 16:55:59
https://doi.org/10.1007/978-3-031-22311-2 recently suggested by Nelson. This paper compares these two approaches. Their features are illustrated by considering the analysis of a data set collected from the performance of an electronic system constructed of several replaceable modules.
motor-unit
发表于 2025-3-24 20:08:49
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intangibility
发表于 2025-3-25 00:34:55
https://doi.org/10.1007/978-94-009-0761-4Management; Software; Transport; data analysis; database; design; development; diagnosis; model; production