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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18044
Title: Fault diagnosis of ball bearings using soft computing
Authors: Bhavaraju K.M.
Sharma S.C.
Kankar P.K.
Harsha S.P.
Published in: Proceedings of ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 2009, DETC2009
Abstract: This paper presents the condition monitoring and fault diagnosis of rolling element bearings using Support Vector Machines (SVM). The vibration response of healthy bearings and bearings with various component defects such as outer race, inner race, balls and their combination have been analyzed. From the obtained vibration spectrum, it is clearly seen that a discrete peak of excitation appeared for the specific defect of bearings. In this paper, various faults of the bearings has been simulated and classified. The process includes, data acquisition, feature extraction from time response and a knowledge based system to classify faults. Features defining feature vectors are formed using statistical techniques and are fed as input to the support vector machine (SVM) classifiers. Knowledge based system developed for classification can be used for automatic recognition of machinery faults based on feature vector. Copyright © 2009 by ASME.
Citation: Proceedings of ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 2009, DETC2009, (2010), 1129- 1133. San Diego, CA
URI: https://doi.org/10.1115/DETC2009-86926
http://repository.iitr.ac.in/handle/123456789/18044
Issue Date: 2010
Keywords: Automatic recognition
Fault diagnosis
Feature vectors
Machinery faults
Outer races
Rolling Element Bearing
Statistical techniques
Time response
Vibration response
Vibration spectra
Bearings (structural)
Condition monitoring
Defects
Failure analysis
Feature extraction
Gears
Image retrieval
Knowledge based systems
Machinery
Soft computing
Support vector machines
Vectors
Vibration analysis
Ball bearings
ISBN: 9.78E+12
Author Scopus IDs: 36132763200
8142901100
8367238500
6603548398
Author Affiliations: Bhavaraju, K.M., Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Noise and Vibration Control laboratory, Roorkee, Uttarkhand 247667, India
Sharma, S.C., Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Noise and Vibration Control laboratory, Roorkee, Uttarkhand 247667, India
Kankar, P.K., Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Noise and Vibration Control laboratory, Roorkee, Uttarkhand 247667, India
Harsha, S.P., Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Noise and Vibration Control laboratory, Roorkee, Uttarkhand 247667, India
Corresponding Author: Bhavaraju, K. M.; Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Noise and Vibration Control laboratory, Roorkee, Uttarkhand 247667, India; email: kmanohar87@gmail.com
Appears in Collections:Conference Publications [ME]

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