Application of the L-Wigner distribution to the diagnosis of local defects of gear tooth

The detection of impulsive signals causing the fracture of gears is a significant task for the analysis of the characteristics of a damaged gear. However, this impulsive signal is hidden by background noise such as meshing frequencies and broadband noise. Recently, conventional time frequency methods have been used. In the case of a signal with a low SNR, these methods are not sufficient for the detection of impulsive signals; hence, the L-Wigner distribution with an S-method kernel is used and applied to the diagnosis of local defects of a tooth in a gear.

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