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Online Condition Monitoring of Traction Motor
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Author(s): Anik Kumar Samanta (Indian Institute of Technology Kharagpur, India), Arunava Naha (Indian Institute of Technology Kharagpur, India), Devasish Basu (Indian Railways, India), Aurobinda Routray (Indian Institute of Technology Kharagpur, India)and Alok Kanti Deb (Indian Institute of Technology Kharagpur, India)
Copyright: 2016
Pages: 35
Source title:
Handbook of Research on Emerging Innovations in Rail Transportation Engineering
Source Author(s)/Editor(s): B. Umesh Rai (Chennai Metro Rail Limited, India)
DOI: 10.4018/978-1-5225-0084-1.ch020
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Abstract
Squirrel Cage Induction Motors (SCIMs) are major workhorse of Indian Railways. Continuous online condition monitoring of the SCIMs like Traction Motor (TM) are essential to prevent unnecessary stoppage time in case of a complete failure. Before a complete failure, the TMs generally develop incipient or weak faults. Weak faults have minute influence on the motor performance but eventually leads to complete failure of the motor. If these weak faults are identified at the earliest then, a scheduled maintenance can be planned which will prevent any unplanned stoppage. The signals used for SCIM fault detection are motor current, voltage, vibration, temperature, voltage induced in search coil, etc. The most popular fault detection technology is based on Motor Current Signature Analysis (MCSA). MCSA based online and onboard TM condition monitoring system can be very useful for Indian railways to reduce the cost of operation and unplanned delay by shifting from unnecessary scheduled maintenance to condition-based maintenance of TM and other auxiliary SCIMs.
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