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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)
The Volterra series theory is a general description of nonlinear systems. As its full consideration of nonlinear factors, Volterra series can show the essential characteristics of nonlinear systems. The basic theory of Volterra series is briefly introduced in this paper first. Then, generalized impulse response function (GIRF) is identified by using genetic(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)
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