NDLI: Rail defect diagnosis using wavelet packet decomposition

Content Provider	IEEE Xplore Digital Library
Author	Toliyat, H.A. Abbaszadeh, K. Rahimian, M.M. Olson, L.E.
Copyright Year	1972
Abstract	One of the basic tasks in railway maintenance is inspection of the rail in order to detect defects. Rail defects have different properties and are divided into various categories with regard to the type and position of defects on the rail. This paper presents an approach for the detection of defects in rail based on wavelet transformation. Multiresolution signal decomposition based on wavelet transform or wavelet packet provides a set of decomposed signals at distinct frequency bands, which contains independent dynamic information due to the orthogonality of wavelet functions. Wavelet transform and wavelet packet in tandem with various signal processing methods, such as autoregressive spectrum, energy monitoring, fractal dimension, etc., can produce desirable results for condition monitoring and fault diagnosis. Defect detection is based on decomposition of the signal acquired by means of magnetic coil and Hall sensors from the railroad rail, and then applying wavelet coefficients to the extracted signals. Comparing these extracted coefficients provides an indication of the healthy rail from defective rail. Experimental results are presented for healthy rail and some of the more common defects. Deviation of wavelet coefficients in the healthy rail case from the case with defects shows that it is possible to classify healthy rails from defective ones.
Sponsorship	IEEE Industry Applications Society
Starting Page	1454
Ending Page	1461
Page Count	8
File Size	946575
File Format	PDF
ISSN	00939994
Volume Number	39
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet packets Signal resolution Wavelet transforms Condition monitoring Wavelet coefficients Rail transportation Inspection Energy resolution Frequency Signal processing
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Electrical and Electronic Engineering

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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