Slope synchronous chirplet transform and its application to tacho-less order tracking of rotating machineries. (1st August 2023)

• Record Type: Journal Article
• Authors: Ding, Jiakai; Wang, Yi; Zhang, Guangyao; Xiao, Dongming; Qin, Yi; Tang, Baoping
• Is Part Of: Mechanical systems and signal processing. Volume 196(2023)
• Publication Date: 2023-08-01
• Subjects: Instantaneous frequency trajectory -- Slope synchronous chirplet transform -- Refined time–frequency representation -- Variable speed -- Tacho-less order tracking; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2023.110357
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: A novel TFR method named slope synchronous chirplet transform (SSCT) is proposed. SSCT can obtain a higher time–frequency resolution for IF close-spaced components. SSCT can obtain more concentrated time–frequency energy for IF trajectories. SSCT has been successfully applied to tacho-less order tracking of aero-engine. Abstract: Chirplet transform (CT) has been widely used in time–frequency analysis (TFA) of rotating machinery vibration signals. However, due to the smear effect and time–frequency resolution limitation, CT and most of its improved algorithms cannot achieve sufficient refined time–frequency representation (TFR) for the instantaneous frequency (IF) close-spaced and IF trajectory slope mutation signals. Aiming at the aforementioned shortcomings, a novel TFA method named slope synchronous chirplet transform (SSCT) is proposed to address this problem. The proposed SSCT algorithm can adaptively adjust the window lengths according to the slope variation of the IF trajectory, thereby higher time–frequency resolution can be obtained for the IF close-spaced components. Besides, the proposed method utilizes a high-order phase operator to accurately capture the trend of IF trajectory slope, so that the time–frequency (TF) energy of the IF trajectory can be better concentrated, thereby the weak TF energy of the IF trajectory can be uncovered. The effectiveness of the proposed method is verified by simulated signals and an aero-engine vibration signal measured under a transient operating mode, the validation results indicate the proposed method outperforms some latest reported TFA algorithms and is available for accurate estimation of instantaneous angular speed for tacho-less order tracking of rotating machineries.