A degradation measurements based real-time reliability prediction method

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The problem of real-time reliability analysis and prediction is considered in this chapter based on degradation measurements. Given the nonlinear degradation path model with random parameters, the prior distribution of the random parameters is updated into a posterior distribution according to Bayesian formula based on the measurable degradation information. Then, the reliability during a certain period in the future can be predicted by Monte Carlo integration. An example by use of the fatigue crack growth data is given for illustration. The example demonstrates that the proposed method is effective and can supply predictive maintenance with some solid basis.