In order to improve the validity and accuracy of fault diagnosis on mechanical equipment, this study applies
fuzzy nearness approach by adjusting the traditional formulations. Besides, it points out the disadvantages in fault
diagnosis of traditional nearness approach based on experimental data of gear transmission. A fuzzy nearness functionbased
model is constructed to execute the fault diagnosis with the assistance of fuzzy nearness principles and fuzzy
mathematical membership degree. Following that, a experimental data-based numerical example is implemented, which
demonstrates that the adjusted fuzzy nearness approach performs better than the traditional one in diagnosing gear fault
effectively and meeting the practical requirements of gear transmission fault diagnosis.
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