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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17567
Title: Detection of bearing failure in rotating machine using adaptive neuro-fuzzy inference system
Authors: Wadhwani S.
Wadhwani A.K.
Gupta S.P.
Kumar V.
Published in: Proceedings of 2006 International Conference on Power Electronics, Drives and Energy Systems, PEDES '06
Abstract: This paper proposes a novel approach for bearing health evaluation using Lempel-Ziv Complexity and time domain statistical parameters in conjunction with ANFIS. Compared to conventional techniques the presented approach works well for a non linear physical system and is thus suited for condition monitoring of machine system under varying operating and loading conditions. The performance of this technique is investigated through experimental study of realistic vibration signals. The results demonstrate that complexity analysis and time domain parameters in conjunction with ANFIS provide an effective measure forbearing health evaluation © 2006 IEEE.
Citation: Proceedings of 2006 International Conference on Power Electronics, Drives and Energy Systems, PEDES '06, (2006). New Delhi
URI: https://doi.org/10.1109/PEDES.2006.344317
http://repository.iitr.ac.in/handle/123456789/17567
Issue Date: 2006
Keywords: ANFIS
Bearing fault
Fault detection
ISBN: 078039772X; 9780780397729
Author Scopus IDs: 23996095000
6508288430
57211862460
25646515800
Author Affiliations: Wadhwani, S., Madhav Institute of Technology and Science, Gwalior (M.P.), India
Wadhwani, A.K., Madhav Institute of Technology and Science, Gwalior (M.P.), India
Gupta, S.P., Department of Electrical Engineering, IIT, Roorkee, Roorkee-247 667, India
Kumar, V., Department of Electrical Engineering, IIT, Roorkee, Roorkee-247 667, India
Corresponding Author: Wadhwani, S.; Madhav Institute of Technology and Science, Gwalior (M.P.), India; email: Sulochana_wadhwani11@rediffmail.com
Appears in Collections:Conference Publications [EE]

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