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Application of machine learning techniques for railway health monitoring

Shafiullah, G. M., Thompson, Adam, Wolfs, Peter J. and Shawkat, Ali A. B. M. 2010, Application of machine learning techniques for railway health monitoring. In Shawkat, Ali A. B. M. and Xiang, Yang (ed), Dynamic and advanced data mining for processing technological development: innovation and systemic approaches, IGI Global, Hershey, Pennsylvania, pp.396-421, doi: 10.4018/978-1-60566-908-3.ch016.

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Title Application of machine learning techniques for railway health monitoring
Author(s) Shafiullah, G. M.
Thompson, Adam
Wolfs, Peter J.
Shawkat, Ali A. B. M.
Title of book Dynamic and advanced data mining for processing technological development: innovation and systemic approaches
Editor(s) Shawkat, Ali A. B. M.
Xiang, Yang
Publication date 2010
Chapter number 16
Total chapters 17
Start page 396
End page 421
Total pages 26
Publisher IGI Global
Place of Publication Hershey, Pennsylvania
Keyword(s) machine learning techniques
railway health monitoring
wireless sensor networking (WSN)
vehicle health monitoring (VHM) systems
ISBN 1605669083
9781605669083
Language eng
DOI 10.4018/978-1-60566-908-3.ch016
Indigenous content off
Field of Research 080109 Pattern Recognition and Data Mining
100504 Data Communications
Socio Economic Objective 880104 Rail Safety
HERDC Research category B1.1 Book chapter
Copyright notice ©2010, IGI Global
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30059174

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.