Vibration signature analysis of distributed defects in ball bearing using wavelet decomposition technique. (January 2017)

• Record Type: Journal Article
• Authors: Kulkarni, SS; Bewoor, AK; Ingle, RB
• Is Part Of: Noise & vibration worldwide. Volume 48:Number 1/2(2017)
• Page Start: 7
• Page End: 18
• Publication Date: 2017-01
• Subjects: Ball bearing -- distributed defect -- vibration -- signal analysis -- wavelet decomposition technique; Noise control -- Periodicals; Damping (Mechanics) -- Periodicals; Soundproofing -- Periodicals; Damping (Mechanics); Noise control; Soundproofing; Periodicals; 620.205
• DOI: 10.1177/0957456517698318
• Languages: English
• ISSNs: 0957-4565

Abstract

The analysis of vibration signals acquired from a ball bearing with an extended type of distributed defects is carried out using wavelet decomposition technique. The influence of artificially generated defect and its location on outer and inner race of the ball bearing is observed using vibration data acquired from bearing housing. The comparison of diagnostic information from fast Fourier transform and time frequency decomposition method is made for inner and outer race of ball bearing with single as well as multiple extended defects. To decompose vibration signal acquired from bearing, db04 wavelet technique was implemented. It is observed that impulses appear with a time period corresponding to characteristic defect frequencies. The results observed from wavelet decomposition technique and fast Fourier transform reveal that the characteristic defect frequency is quite consistent even with change in location of defect. The extended type of distributed defects in the ball bearings can also be effectively diagnosed with the help of wavelet decomposition technique and fast Fourier transform.