DocumentCode :
53864
Title :
Abrasion Modeling of Multiple-Point Defect Dynamics for Machine Condition Monitoring
Author :
Yaqub, Muhammad Farrukh ; Gondal, Iqbal ; Kamruzzaman, J. ; Loparo, Kenneth A.
Author_Institution :
Caulneld Sch. of Inf. Technol., Monash Univ., Clayton, VIC, Australia
Volume :
62
Issue :
1
fYear :
2013
fDate :
Mar-13
Firstpage :
171
Lastpage :
182
Abstract :
Multiple-point defects and abraded surfaces in rotary machinery induce complex vibration signatures, and have a tendency to mislead defect diagnosis models. A challenging problem in machine defect diagnosis is to model and study defect signature dynamics in the case of multiple-point defects and surface abrasion. In this study, a multiple-point defect model (MPDM) that characterizes the dynamics of n-point bearing defects is proposed. MPDM is further extended to model degradation in a rotating machine as a special case of multiple-point defects. Analytical and experimental results for multiple-point defects and abrasions show that the location of the fundamental defect frequency shifts depending upon the relative location of the defects and width of the abrasive region. This variation in the defect frequency results in a degradation of the defect detection accuracy of the defect diagnostic model. Based on envelope detection analysis, a modification in existing defect diagnostic models is recommended to nullify the impact of multiple-point defects, and general abrasion in machine components.
Keywords :
abrasion; condition monitoring; machine bearings; turbomachinery; vibrations; MPDM; abrasion modeling; complex vibration signatures; defect detection accuracy degradation; defect signature dynamics; degradation model; envelope detection analysis; fundamental defect frequency shifts; machine components; machine condition monitoring; machine defect diagnosis model; multiple-point defect dynamics; multiple-point defect model; n-point bearing defects; rotary machinery; rotating machine; surface abrasion; Condition monitoring; Fourier transforms; Load modeling; Mathematical model; Rough surfaces; Surface roughness; Vibrations; Abrasion modeling; defect diagnosis; machine condition monitoring; multiple-point defect modeling; rolling element bearings;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/TR.2013.2241231
Filename :
6461122
Link To Document :
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