Research of fault diagnosis based on matching pursuit and biomimetic pattern recognition

Abstract

Consider of influences of noise in sampling signals comprehensively, a method of fault diagnosis which combines matching pursuit (MP) and biomimetic pattern recognition (BPR) is put forward in this paper. Firstly, the matching pursuit (MP) algorithm is used to select optimum wavelets in different SNR situations from the Laplace wavelet dictionary. Then the feature vector is extracted according to the operation result of waveform MP and super high dimensional detection feature spaces of biomimetic pattern recognition (BPR) are constructed. After that, the real-time detected partial discharge (PD) signals are cut, and the feature for each discharge pulse is extracted respectively, which realized the multiple fault recognition revolutionarily. Simulations show that the robustness and accuracy of fault pattern recognition is improved.