The present application relates to the technical field of fault detection, and relates to a
relay contact fault identification method based on
wavelet denoising and a
support vector machine, comprising the following steps: S1, constructing a current
signal acquisition and double-channel reconstruction circuit: a
Rogowski coil is sleeved on an output loop of a
relay contact, and a differential
voltage signal is inducted and output by the
Rogowski coil; S2, respectively adopting a first
wavelet base and a second
wavelet base to perform multi-scale
wavelet decomposition, threshold denoising and
wavelet reconstruction on a complete current digital sequence and a
transient current digital sequence; S3, extracting
time domain statistical features from the complete current digital sequence after denoising, extracting time-frequency energy features from the
transient current digital sequence after denoising, and outputting a fault category of the
relay contact after classification and decision by a
support vector machine classifier. The present application overcomes the inherent contradiction that a single acquisition channel is difficult to simultaneously consider slow-changing contact components and transient disturbance components in terms of
dynamic range and denoising strategy.