2012 Proceedings Annual Reliability and Maintainability Symposium 2012
DOI: 10.1109/rams.2012.6175518
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Determining reliability by failure rate estimation via a new parameter

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Cited by 3 publications
(4 citation statements)
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“…, equations (6)(7)(8) and ( six unknown variables namely: , , , , , and . Once these variables are estimated, both mean and variance functions of failure intensity can be formulated.…”
Section: Figure 4 Daq Intensity Function Targetsmentioning
confidence: 99%
See 1 more Smart Citation
“…, equations (6)(7)(8) and ( six unknown variables namely: , , , , , and . Once these variables are estimated, both mean and variance functions of failure intensity can be formulated.…”
Section: Figure 4 Daq Intensity Function Targetsmentioning
confidence: 99%
“…However, research on information integration in RGT is relatively scarce [13] and can be subjective [14]. Another enabler approach is the failure mode elimination using stress tests [7] where reliability credit is given based on the ability of the design team to "weed out" a potential failure mode based on the understanding of the physics of the failure mode through detection or prevention risk mitigation.…”
Section: Introductionmentioning
confidence: 99%
“…This ability can be expressed as a probability, which attempts to forecast the failure pattern of the system. In many cases , it is convenient to specify the reliability of the system by some parameters. Those parameters indicate the failure rate of such a system or equipment and also independent upon the operating time.…”
Section: Failure Analysismentioning
confidence: 99%
“…Weibull distribution technique is one of the most commonly used distributions in reliability engineering. Procedures for Weibull distribution are data acquisition, ranking data, plotting data on Weibull probability plot, and interpreting the result.…”
Section: Failure Analysismentioning
confidence: 99%