1999
DOI: 10.1109/24.784270
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A comparison of electronic-reliability prediction models

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Cited by 70 publications
(23 citation statements)
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“…These differences can partly be explained by the matter of fact that they privilege more or less some influence factors [12]. The diversity of these results confirms the importance of accelerated ageing test under the conditions which are close to the mission profile of the system.…”
Section: Calculation Of Failure Ratessupporting
confidence: 57%
“…These differences can partly be explained by the matter of fact that they privilege more or less some influence factors [12]. The diversity of these results confirms the importance of accelerated ageing test under the conditions which are close to the mission profile of the system.…”
Section: Calculation Of Failure Ratessupporting
confidence: 57%
“…Because of their ease-to-use character in practical engineering situations, they are supported and implemented by many companies for evaluating the reliability of SEM [21].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the suitability of this standard compared to other ones has been proved because of its different and more factors which cover all aspects of reliability and influential items [60]. This handbook uses two methods called parts count and parts stress to estimate the reliability of system components at various stages of design [47,61].…”
Section: Methodsmentioning
confidence: 99%