Abstract:This study develops a novel degradation assessment index (DAI) from acoustic emission signal obtained from slow rotating bearings and integrates same into alternative Bayesian methods for the prediction of remaining useful life (RUL). The DAI is obtained by the integration of polynomial kernel principal component analysis (PKPCA), Gaussian mixture model (GMM) and exponentially weighted moving average (EWMA). The DAI is then used as inputs in several Bayesian regression models such as the multi-layer perceptron… Show more
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