Liangsheng Qu

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This paper considers feature discovery in fault diagnosis using bootstrap processing and genetic programming. Bootstrap is one of the powerful computer-simulated statistical techniques. It integrates classical statistics with the numerical calculations of a computer. This paper uses bootstrap to preprocess the operational data acquired from a running(More)
As is well known, the information entropy is a basic notion in cybernetics. This paper mainly summarizes some applications of information entropy in our machinery diagnostic research practice. First, we use it as a quantitative measure of equipment diagnostibility, maintainability. Second, we introduce a criterion of complexity in frequency domain to(More)
Soft thresholding has been a standard wavelet de-noising procedure in many signal and image processing applications. Theoretically, it is also almost optimal in the sense of nearly achieving the minimax mean-squared error. Inspired by this property, this paper proposes the addition of coefficient de-noising before soft thresholding. This extra step serves(More)