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Affiliation of Author(s):自动化学院

Title of Paper:Fault diagnosis of planetary gearbox based on adaptive parameter variational mode decomposition

Journal:Hangkong Dongli Xuebao

Abstract:In order to solve the problems of variational mode decomposition, including presetting parameter of mode number and failure liability in signal decomposition under the condition of strong noise, an improved method for determining the number of modal decomposition modes and the center of frequency band based on the extreme point of power spectral density was proposed. The effectiveness of the method was verified by signal simulation analysis. Based on the adaptive parameter variational mode decomposition, a fault diagnosis procedure was applied to diagnose the second level sun gear crack of planetary gearbox test platform. Test results proved that the method can accurately decompose the vibration signal, effectively extract and identify the fault characteristic frequency, and achieve accurate diagnosis of the second-stage sun gear crack fault under the condition of strong background noise and weak fault signal. © 2018, Editorial Department of Journal of Aerospace Power. All right reserved.

ISSN No.:1000-8055

Translation or Not:no

Date of Publication:2018-11-01

Co-author:Sun, Canfei,Shen, Yong,Chen, Wei

Correspondence Author:Sun, Canfei,wang you ren