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Reliability Predictions Using Probabilistic Methods and Key Life Testing

Authors: Ronald H. Salzman; Scott L. Ciemniecki;

Reliability Predictions Using Probabilistic Methods and Key Life Testing

Abstract

<div class="htmlview paragraph">A Key Life Test is an accelerated test designed to detect a major component failure mode. The Key Life Test process will be outlined, as applied to predicting the life and reliability of an automotive synchronous timing belt. The main objective of this type of testing is the development of a model to improve quality by designing reliability into the product. A math model will be described to assess severe customer usage, determine the test conditions and acceleration factor and is used to find the timing belt life and reliability. The application of Probabilistic Methods will be explained to predict the belt life and reliability, after the model has been correlated against the test results obtained. It will be shown that the design can be optimized to improve the timing belt reliability using the model.</div>

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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