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2003•Basic AutomationRequires access

Method of Choosing a Wavelet for Fault Detection

Zhou Xiao

Open publisher page 1 citations

Abstract

?A method of choosing a wavelet for the detection of singularities of a fault signal is presented. The method is to choose a wavelet by the regularities of the wavelet and the signal. The method is based on the fact that the coefficient of the wavelet transform signifies the resemblance between the wavelet and the signal, at the same time, the regularity of the signal is relative to the wavelet coefficient. A simulation is presented to illustrate the validity and feasibility of the method.

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What this paper is about

?A method of choosing a wavelet for the detection of singularities of a fault signal is presented. The method is to choose a wavelet by the regularities of the wavelet and the signal. The method is based on the fact that the coefficient of the wavelet transform signifies the resemblance between the wavelet and the signal, at the same time, the regularity of the signal is relative to the wavelet coefficient. A simulation is presented to illustrate the validity and feasibility of the method.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

?A method of choosing a wavelet for the detection of singularities of a fault signal is presented. The method is to choose a wavelet by the regularities of the wavelet and the signal. The method is based on the fact that the coefficient of the wavelet transform signifies the resemblance between the wavelet and the signal, at the same time, the regularity of the signal is relative to the wavelet coefficient. A simulation is presented to illustrate the validity and feasibility of the method.

Key concepts: Wavelet, Stationary wavelet transform, Wavelet packet decomposition, Second-generation wavelet transform, Wavelet transform, SIGNAL (programming language), Discrete wavelet transform, Cascade algorithm

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