Zhangchun Tang

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Sensors play an important role in the modern manufacturing and industrial processes. Their reliability is vital to ensure reliable and accurate information for condition based maintenance. For the gearbox, the critical machine component in the rotating machinery, the vibration signals collected by sensors are usually noisy. At the same time, the fault(More)
In order to extract fault features of large-scale power equipment from strong background noise, a hybrid fault diagnosis method based on the second generation wavelet de-noising (SGWD) and the local mean decomposition (LMD) is proposed in this paper. In this method, a de-noising algorithm of second generation wavelet transform (SGWT) using neighboring(More)
Keywords: Epistemic and aleatory uncertainties Failure probability Variance based sensitivity measure Kriging method Sobol's method a b s t r a c t For structural systems with both epistemic and aleatory uncertainties, the effect of episte-mic uncertainty on failure probability is measured by the variance based sensitivity analysis , which generally needs a(More)
Keywords: Epistemic and aleatory uncertainty Failure probability Importance measure Moving least squares method Sobol's method a b s t r a c t For the structural systems with both epistemic and aleatory uncertainties, in order to analyze the effect of the epistemic uncertainty on the safety of the systems, a variance based importance measure of failure(More)
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