An online tacholess order tracking technique based on generalized demodulation for rolling bearing fault detection. (14th April 2016)

• Record Type: Journal Article
• Authors: Wang, Yi; Xu, Guanghua; Luo, Ailing; Liang, Lin; Jiang, Kuosheng
• Is Part Of: Journal of sound and vibration. Volume 367(2016)
• Page Start: 233
• Page End: 249
• Publication Date: 2016-04-14
• Subjects: bearing fault diagnosis -- speed variation operating conditions -- generalized demodulation -- tacholess order tracking -- envelope order spectrum; Sound -- Periodicals; Vibration -- Periodicals; Son -- Périodiques; Vibration -- Périodiques; Sound; Vibration; Periodicals; Electronic journals; 620.205
• DOI: 10.1016/j.jsv.2015.12.041
• Languages: English
• ISSNs: 0022-460X

Abstract

Abstract: Vibration analysis has been proved to be an effective and powerful tool for the condition monitoring and fault diagnosis of rolling bearings. During the past decades, the conventional envelope analysis has been one of the main approaches in vibration signal processing. However, the envelope analysis is based on stationary assumption, thus it is not applicable to the fault diagnosis of bearings under rotating speed variation conditions. This constraint limits the bearing diagnosis in industrial applications. In recent years, order tracking methods based on time–frequency representation have been proposed for bearing fault detection under speed variation operating conditions. However, the methods are only applicable for offline bearing fault detection. Aiming at the shortcomings of the current tacholess order tracking techniques, an online tacholess order tracking method is proposed in this paper. The proposed method is on the basis of extracting the instantaneous tachometer information from the collected vibration signal itself continuously, and resampling the original signal with equal angle increment. The envelope order spectrum is used for bearing fault identification. The effectiveness of the proposed method has been validated by both simulated and experimental bearing vibration signals. Highlights: An online tacholess order tracking technique based on generalized demodulation time–frequency analysis is proposed. The instantaneous tachometer information is extracted from the collected vibration signal continuously. The original signal is resampled with equal angle increment and the envelope order spectrum is used for bearing fault identification.