Development of an effective condition monitoring system for AC point machines
Development of an effective condition monitoring system for AC point machines
- Author(s): T. Asada and C. Roberts
- DOI: 10.1049/cp.2011.0584
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- Author(s): T. Asada and C. Roberts Source: 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), 2011 page ()
- Conference: 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011)
- DOI: 10.1049/cp.2011.0584
- ISBN: 978-1-84919-558-4
- Location: Derby, UK
- Conference date: 29-30 Nov. 2011
- Format: PDF
This paper develops a new approach for the fault detection and diagnosis of AC point machines. The paper shows that electrical active power can be used as a parameter for condition monitoring systems for AC point machines. The methodology proposed in this paper utilises Wavelet Transforms and Support Vector Machines. It was found that this method can detect and diagnose faults to a high degree of accuracy. (6 pages)
Inspec keywords: support vector machines; fault diagnosis; wavelet transforms; AC machines; condition monitoring
Subjects: Integral transforms; a.c. machines; Integral transforms; Knowledge engineering techniques; Power engineering computing
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