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The inherent unreliability of reliability data
Author(s) -
Mallagh C.
Publication year - 1988
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.4680040110
Subject(s) - reliability (semiconductor) , similarity (geometry) , component (thermodynamics) , reliability engineering , judgement , computer science , probabilistic logic , set (abstract data type) , data mining , engineering , artificial intelligence , power (physics) , physics , quantum mechanics , law , political science , image (mathematics) , thermodynamics , programming language
The availability of good data is crucial to good reliability prediction. Two contrasting cases are noted: (1) when a large amount of experience with components is available but data are not collected and (2) when systems are so innovative that no reliability experience is available. The relationship of reliability to incompleteness of knowledge and the acausal nature of statistical/probabilistic models is discussed. The difficulty of assigning any absolute similarity between any one component and the members of a particular reliability set is outlined. It is concluded that engineering judgement must always play a vital role in reliability estimation.