Degradation model and application in life prediction of rotating-mechanism

The degradation data can provide additional information beyond that provided by the failure observations,both sets of observations need to be considered when doing inference on the statistical parameters of the product and system lifetime distributions. By the degradation model showing the wear out failure,the predicted results of mechanism life is more accurate.Strength is one of the important capabilities of the rotating mechanism.In this paper,the degradation data of strength are described as a stochastic process model.Accelerated tests expose the products to greater environmental stress levels so that we can obtain lifetime degradation measurements in a more timely fashion. Using the Best Linear Unbiased Estimation(BLUE) Method,the parameters under the degradation path were estimated from the accelerated life test(ALT) data of the rotating mechanism.Based on solving the singularity of degradation equation,at any time the reliability is estimated by the using the strength-stress interference theory.So we can predict the life of the rotating mechanism.