Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/9036
Title: A fault detection tool using analysis from an autoregressive model pole trajectory
Authors: Thanagasundram, Suguna
Spurgeon, Sarah K.
Schlindwein, Fernando Soares
First Published: 11-Nov-2008
Publisher: Elsevier
Citation: Journal of Sound and Vibration, 2008, 317(3-5), pp. 975–993.
Abstract: A new scheme is proposed that combines autoregressive (AR) modelling techniques and pole-related spectral decomposition for the study of incipient single-point bearing defects for a vibration-based condition monitoring system. Vibration signals obtained from the ball bearings from the high vacuum (HV) and low vacuum (LV) ends of a dry vacuum pump run in normal and faulty conditions are modelled as time-variant AR series. The appearance of spurious peaks in the frequency domain of the vibration signatures translates to the onset of defects in the rolling elements. As the extent of the defects worsens, the amplitudes of the characteristic defect frequencies’ spectral peaks increase. This can be seen as the AR poles moving closer to the unit circle as the severity of the defects increase. The number of poles equals the AR model order. Although not all of the poles are of interest to the user. It is only the poles that have angular frequencies close to the characteristic bearing defect frequencies that are termed the ‘critical poles’ and are tracked for quantification of the main spectral peaks. The time-varying distance, power and frequency components can be monitored by tracking the movement of critical poles. To test the efficacy of the scheme, the proposed method was applied to increasing frame sizes of vibration data captured from a pump in the laboratory. It was found that a sample size of 4000 samples per frame was sufficient for almost perfect detection and classification when the AR poles’ distance from the centre of unit circle was used as the fault indicator. The power of the migratory poles was an alternative perfect classifier, which can be used as a fault indicator. The analysis has been validated with actual data obtained from the pump. The proposed method has interesting potential applications in condition monitoring, diagnostic and prognostic-related systems.
DOI Link: 10.1016/j.jsv.2008.03.044
ISSN: 0022-460X
Links: http://www.sciencedirect.com/science/article/pii/S0022460X08002782
http://hdl.handle.net/2381/9036
Type: Article
Rights: This is the authors' final draft of the paper published as Journal of Sound and Vibration, 2008, 317(3-5), pp. 975–993. The published article is available at http://www.elsevier.com/wps/find/journaldescription.cws_home/622899/description#description , doi:10.1016/j.jsv.2008.03.044
Appears in Collections:Published Articles, Dept. of Engineering

Files in This Item:
File Description SizeFormat 
Authors' final draft - A_Fault_Detection_Tool.pdf399.92 kBAdobe PDFView/Open


Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.