A non-linear time–frequency tool for machinery fault diagnosis under varying speed condition. (1st March 2023)

• Record Type: Journal Article
• Authors: Yu, Gang; Huang, Xingguo; Lin, Tianran; Dong, Haoran
• Is Part Of: Mechanical systems and signal processing. Volume 186(2023)
• Publication Date: 2023-03-01
• Subjects: Time-frequency analysis -- Instantaneous frequency -- Synchroextracting transform -- Fault diagnosis; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2022.109849
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: A high-resolution time–frequency analysis method is proposed for characterizing strong nonstationary signals. The proposed technique allows for locating the exact frequency information of multi-components. The numerical and experimental examples are employed to validate the proposed technique. Abstract: Vibration signals acquired from rotating machines operating under varying speed condition often exhibit strong frequency modulation. Conventional time–frequency analysis techniques cannot accurately capture the rapid changing dynamic of such signals where the time–frequency representation often suffers from the diffused energy problem. A new technique binding the demodulation technique and synchroextracting transform (SET) is thus proposed in this paper to overcome this problem. A theoretical analysis is also presented in the study to show the underlying mechanism that the SET technique has certain limitations in dealing with strong time-varying signals, whereas the proposed technique can effectively overcome such limitations. Several numerical examples and two sets of bearing experimental data are used to verify the effectiveness of the proposed technique in the analysis of time-varying signals and for bearing fault diagnosis.