Mechanical equipment fault diagnosis method based on unsteady-state current signal

Abstract

The invention discloses a mechanical equipment fault diagnosis method based on an unsteady-state current signal. According to the method, the problem of frequency spectrum fuzziness caused by speed change is solved, the instantaneous frequency in the time domain can be estimated without integration or time-frequency conversion, the calculation efficiency is improved, high-precision frequency feature extraction is realized, and the method can be used for fault diagnosis and identification of mechanical equipment. The method comprises the following steps: S1, collecting a current signal for preprocessing; s2, carrying out zero crossing point estimation on the preprocessed circuit information; s3, determining a resampling time point; s4, resampling the signal; and S5, envelope spectrum analysis. The method is applied to the technical field of mechanical equipment fault diagnosis.

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