1999
DOI: 10.1109/maes.1999.765777
|View full text |Cite
|
Sign up to set email alerts
|

Electronic component reliability

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
15
0
1

Year Published

2000
2000
2015
2015

Publication Types

Select...
5
2
2

Relationship

0
9

Authors

Journals

citations
Cited by 34 publications
(17 citation statements)
references
References 0 publications
0
15
0
1
Order By: Relevance
“…The failure criteria takes a measure of the PCB response and uses this to produce a failure metric, where the failure metric may be Mean Time To Failure (MTTF), cycles to failure, probability of mission success or any other of a number of failure metrics (see IEEE [26]; Jensen [28]; O'Connor [47] for a discussion of failure metrics). The many different approaches to creating this data can be conveniently split up into Analytical and Empirical categories.…”
Section: Failure Criteriamentioning
confidence: 99%
“…The failure criteria takes a measure of the PCB response and uses this to produce a failure metric, where the failure metric may be Mean Time To Failure (MTTF), cycles to failure, probability of mission success or any other of a number of failure metrics (see IEEE [26]; Jensen [28]; O'Connor [47] for a discussion of failure metrics). The many different approaches to creating this data can be conveniently split up into Analytical and Empirical categories.…”
Section: Failure Criteriamentioning
confidence: 99%
“…This approach is based on the energy storage concept originally introduced into reliability engineering by Haviland [13,15]. We detail below the basis of this healthy components concept.…”
Section: Approach To Load-strengthmentioning
confidence: 99%
“…However significant evidence contradicts this tripartite form of λ(t) which authors usually call bathtub curve. For instance, researchers show the irregular degeneracy of electronic circuits [2]. The hazard rate presents humps so evident that Wong [3] labels this: "roller coaster distribution".…”
Section: Introductionmentioning
confidence: 99%