Fault tracing of gear systems: An in-situ measurement-based transfer path analysis method. (9th June 2023)

• Record Type: Journal Article
• Authors: Huangfu, Yifan; Dong, Xingjian; Yu, Xiaoluo; Chen, Kangkang; Li, Zhanwei; Peng, Zhike
• Is Part Of: Journal of sound and vibration. Volume 553(2023)
• Publication Date: 2023-06-09
• Subjects: In-situ measurement -- Fault tracing -- Gear system -- Transfer path; Sound -- Periodicals; Vibration -- Periodicals; Son -- Périodiques; Vibration -- Périodiques; Sound; Vibration; Periodicals; Electronic journals; 620.205
• DOI: 10.1016/j.jsv.2023.117610
• Languages: English
• ISSNs: 0022-460X

Abstract

Highlights: An in-situ transfer path analysis method is proposed to avoid physical decoupling ;. A virtual decoupling method is applied to estimate the decoupled frequency response function;. The effectiveness of the proposed method is verified both numerically and experimentally ;. The proposed method is capable of tracing the fault location by determining the dominant transfer path;. A physically-interpretable signal decomposition method is proposed to enhance the fault feature. Abstract: A transfer path analysis method based on the in-situ measurement is proposed for the fault tracing of parallel axis gear systems. A virtual decoupling technique is used to achieve the in-situ measurement of the decoupled frequency response function (FRF) between bearing positions and measuring points on housing, avoiding the tedious test procedure and non-representative assembly conditions caused by the physical decoupling. Based on the decoupled FRF and the responses of the gearbox housing, the bearing force is identified using the Tikhonov regularization theory. Then the frequency-dependent path contribution, which will be used to perform the transfer path analysis, is obtained by multiplying the decoupled FRF and the bearing force. Finally, the fault-specific path rank order is determined using the path contribution within the resonant frequency band. This band is located by the spectral kurtosis algorithm. Based on the proposed in-situ path analysis, fault tracing is conducted by determining the dominant transfer path. The effectiveness of the proposed path analysis method is verified both numerically and experimentally. A two-stage parallel axis gear test rig with localized defects is utilized to demonstrate the efficacy of the proposed fault tracing strategy. Moreover, based on the path analysis, a physically-interpretable signal decomposition method is proposed to enhance the fault feature. Through this decomposition method, the fault indicator of the weakest fault type (chipped tooth) can be magnified by 204%. The proposed transfer path analysis method provides a feasible strategy for fault tracing, feature enhancement and incipient fault diagnosis of parallel axis gear systems. Graphical abstract: Image, graphical abstract