Nonstationary signal analysis one of the main topics in the field of machinery fault diagnosis.Time-frequency analysis can identify the signal frequency components, reveals their time variant features,and is an effective tool to extract machinery health information contained innonstationary signals.Various time-frequency analysis methods have been proposed and applied to machinery fault diagnosis.These include linear and bilineartime–frequency representations(e.g.,wavelet transform,Cohen and affine class distributions),adaptive parametric time-frequency an alysis(basedonatomic decomposition and time-frequency auto regressive moving average models),adaptive non-parametric time–frequencyanalysis

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