System-Reliability Prediction in Impulsive-Noise Environments, Based on Wear-Dependent Failure Rates, Using Response “Peak” Statistics

Publisher Website
Google Scholar
Abstract
An approach to system reliability under wearout and overload failure is outlined, where conventional models for these mechanisms are used to define wear-dependent failure rates in terms of response “peak” statistics. System-failure rates are seen to be bounded above, making predictions based on the Weibull distribution too conservative at the “tail”, while certain normal-derived predictions are too optimistic. However, Weibull distributions are found quite useful in approximating the various response peak statistics for certain impulsive-noise environments encountered in random vibrations and elsewhere. The pitfalls of misusing “normalized” curves of reliability are cited and the need for future investigations is expressed.

This publication has 0 references indexed in Scilit: