The vibration signals analysis is a very effective and reliable method for detecting the gear failures. Because the vibration signals\nacquired from the gear in the variable speed condition often containmore useful fault information, the analysis of the gear vibration\nsignals during the variable speed condition has been a hot research topic. In this paper, a method based on the multiscale chirplet\npath pursuit (MSCPP) and the linear canonical transform (LCT) has been applied to diagnose the gear fault in the variable speed\ncondition for the first time. First, by using the MSCPP method to estimate the instantaneous meshing frequency, the suitable\nsignal segment approximation to the acceleration or deceleration process can be selected. Then, because the LCT is a novel and\nefficient non stationary signals analysis tool, the optimal LCT spectrum of the selected signal has been at tainted to diagnose the\ngear faults based on the properties of the LCT. In addition, the simulations and the experimental evaluation are provided to verify\nthe effectiveness of the proposed method.
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