Series System Failure Rate Modeling and the Mechanism to Yield Bathtub Curve

Failure rate functions were usually constructed in terms of life distribution. The present paper defines “discrete failure rate”, analyzes the dependence of failure rate curve shape on the probabilistic property of load-strength interaction, and develops load-strength-interaction based system failur...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 121-126; pp. 4858 - 4862
Main Authors Lin, Wen Qiang, Xie, Li Yang, Yan, Shao Ze, Zhang, Ming Chuan
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.01.2012
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Summary:Failure rate functions were usually constructed in terms of life distribution. The present paper defines “discrete failure rate”, analyzes the dependence of failure rate curve shape on the probabilistic property of load-strength interaction, and develops load-strength-interaction based system failure rate model. For the majority of mechanical equipment, operation load is normally a random process, components are subjected to a large number of stochastic load actions during its service life. Meanwhile, material property degrades continuously owing to the failure mechanisms such as fatigue. It is the ever changing load-strength relationship that yields the variation in failure rate. Based on the criterion that failure occurs when a load higher than the relevant strength appears, failure rate model is developed based on the interaction mechanism between load and residual strength, and their statistical characteristics as well. Based on the interpretation to the variation of failure rate in terms of load uncertainty and strength uncertainty, the effect of statistical risk of load and the effect of strength degradation on failure rate curve shape are highlighted.
Bibliography:Selected, peer reviewed papers from the Second International Conference on Frontiers of Manufacturing and Design Science, (ICFMD 2011), December 11-13, Taiwan
ISBN:3037852828
9783037852828
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.121-126.4858