Abstract
SummaryThe automobile transmission is the core component of the automobile transmission system. Extracting effective fault feature information from a complex mechanical device like a car transmission is the key to fault diagnosis. In this paper, the vibration signals of the normal transmission and different faulty transmissions are collected through experiments, and the weak fault feature extraction of automobile transmission gears is based on the combination of Teager energy operator demodulation method and empirical mode decomposition method. Finally, the theory of SVM and its application in fault diagnosis are introduced. Based on the cross‐validation method, the grid search method and particle swarm optimization algorithm are used to search and optimize the important parameters in the SVM model to improve the performance of the SVM classifier.
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