A leakage-free resonance sparse decomposition technique for bearing fault detection in gearboxes. (13th February 2018)

• Record Type: Journal Article
• Authors: Osman, Shazali; Wang, Wilson
• Is Part Of: Measurement science & technology. Volume 29:Number 3(2018:Mar.)
• Publication Date: 2018-02-13
• Subjects: bearing fault detection -- resonance sparse decomposition -- leakage-free filtering -- gearbox condition monitoring; Physical measurements -- Periodicals; Scientific apparatus and instruments -- Periodicals; Equipment and Supplies -- Periodicals; Science -- instrumentation -- Periodicals; Technology -- instrumentation -- Periodicals; Mesures physiques -- Périodiques; Physical measurements; Scientific apparatus and instruments; Periodicals; 502.87
• DOI: 10.1088/1361-6501/aa9d5a
• Languages: English
• ISSNs: 0957-0233

Abstract

Abstract: Most of rotating machinery deficiencies are related to defects in rolling element bearings. Reliable bearing fault detection still remains a challenging task, especially for bearings in gearboxes as bearing-defect-related features are nonstationary and modulated by gear mesh vibration. A new leakage-free resonance sparse decomposition (LRSD) technique is proposed in this paper for early bearing fault detection of gearboxes. In the proposed LRSD technique, a leakage-free filter is suggested to remove strong gear mesh and shaft running signatures. A kurtosis and cosine distance measure is suggested to select appropriate redundancy r and quality factor Q . The signal residual is processed by signal sparse decomposition for highpass and lowpass resonance analysis to extract representative features for bearing fault detection. The effectiveness of the proposed technique is verified by a succession of experimental tests corresponding to different gearbox and bearing conditions.