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From the perspective of the application of signal feature extraction in the field of fault diagnosis, the method of signal feature extraction based on wavelet singularity is discussed in this paper. The theory of signal singularity detection based on a maximum value of wavelet transform modulus is discussed, the completeness of waveform feature extraction based on a maximum value of wavelet transform modulus is expounded, and finally, an analysis example of standard primary voltage waveform was given out.

Study on Fault Waveform Feature Extraction of Engine Ignition System based on Wavelet Analysis