Abstract
This chapter focuses on time-dependent reliability assessment approaches. Two new methods are presented to depict the change of reliability with the increase of operation time or the number of applied load cycles. In the first part of this chapter, we present a time-dependent load-strength interference analysis method that models reliability degradation caused by a randomly repeated load. By describing the loading history as the Poisson stochastic process, time-dependent reliability models are developed, and the characteristics of the failure rate curve with respect to different component strength degradation patterns is discussed. In the second part, we present a residual life distribution based method by which we model the change of the residual fatigue life distribution with the number of load cycles. Based on the experimental study of residual fatigue life distributions of two metallic materials, a model is developed to calculate the parameters of residual fatigue life distribution under variable amplitude load history, by which residual life distribution parameters are determined with the known applied load history. Furthermore, a recursive equation is introduced to predict the probability of fatigue failure under variable amplitude load histories.
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Xie, L., Wang, Z. (2008). Reliability Degradation of Mechanical Components and Systems. In: Misra, K.B. (eds) Handbook of Performability Engineering. Springer, London. https://doi.org/10.1007/978-1-84800-131-2_27
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DOI: https://doi.org/10.1007/978-1-84800-131-2_27
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