Fault diagnosis for gearboxes based on Fourier decomposition method and resonance demodulation

作     者：Shuiguang TONG Zilong FU Zheming TONG Junjie LI Feiyun CONG Shuiguang TONG;Zilong FU;Zheming TONG;Junjie LI;Feiyun CONG

作者机构：State Key Laboratory of Fluid Power and Mechatronic SystemsZhejiang UniversityHangzhou 310027China School of Mechanical EngineeringZhejiang UniversityHangzhou 310027China 

出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)

年 卷 期：2023年第24卷第5期

页      面：404-418页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基　　金：supported by the National Key R&D Program of China(No.2019YFB2004604) the National Natural Science Foundation of China(No.52075477) the Key R&D Program of Zhejiang Province(No.2021C01139),China 

主　　题：Fourier decomposition method Singular value ratio Resonance frequency Envelope demodulation Fault diagnosis 

摘      要：Condition monitoring and fault diagnosis of gearboxes play an important role in the maintenance of mechanical *** vibration signal of gearboxes is characterized by complex spectral structure and strong time variability,which brings challenges to fault feature *** address this issue,a new demodulation technique,based on the Fourier decomposition method and resonance demodulation,is proposed to extract fault-related ***,the Fourier decomposition method decomposes the vibration signal into Fourier intrinsic band functions(FIBFs)adaptively in the frequency ***,the original signal is segmented into short-time vectors to construct double-row matrices and the maximum singular value ratio method is employed to estimate the resonance ***,the resonance frequency is used as a criterion to guide the selection of the most relevant FIBF for demodulation ***,for the optimal FIBF,envelope demodulation is conducted to identify the fault characteristic *** main contributions are that the proposed method describes how to obtain the resonance frequency effectively and how to select the optimal FIBF after decomposition in order to extract the fault characteristic *** numerical and experimental studies are conducted to investigate the performance of the proposed *** is demonstrated that the proposed method can effectively demodulate the fault information from the original signal.