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

Fault Diagnosis of Gear Based on the Variable Fuzzy Similarity Nearness