Fault Diagnosis for Buckling Friction Components in Wet Multi-Disc Clutches Using IHHT

The wet multi-disc clutches are extensively used in various transmission systems, with one of the most prevalent failure modes being the buckling deformation of friction components. An improved Hilbert-Huang transform method (IHHT) is proposed to address the limitations of traditional time-domain vibration analyses, such as low accuracy and mode mixing. This paper first classifies the buckling degree of the friction components. Next, wavelet packet transform (WPT) is applied to the vibration signals of different buckling plates to partition them into distinct frequency bands. Then, the instantaneous features are extracted by empirical mode decomposition (EMD) and Hilbert transform (HT) to discarding extraneous intrinsic mode function (IMF) components. Comparative analyses of Hilbert spectral entropy and time-domain features confirm the enhanced precision of IHHT under specific classifiers, which is better than traditional methods.