TY - GEN
T1 - Transformer Winding Fault Diagnosis by Vibration Monitoring
AU - Manohar, Sai Srinivas
AU - Subramaniam, Aravinth
AU - Bagheri, Mehdi
AU - Nadarajan, Sivakumar
AU - Gupta, Amit Kumar
AU - Panda, Sanjib Kumar
N1 - Funding Information:
This work was supported by Singapore Maritime Institute in collaboration with Rolls Royce Singapore Pte. Ltd. (SMI-2013-MA-10) and has been carried out at National University of Singapore, as a part of the research project on Condition Monitoring and Predictive Maintenance of Marine Transformers.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/14
Y1 - 2018/11/14
N2 - The role of transformer in electricity network reliability and safe operation is quite crucial. Therefore, their monitoring, maintenance and management is vitally important for utility operators. Simpler, non-invasive and online condition monitoring method which is sensitive to incipient faults is in demand for transformer diagnosis. Although vibration monitoring is considered as a valuable technique in industry for rotating machines, it is least explored for static electrical equipment such as transformer. In this study, core and winding vibrations in a dry type transformer is monitored using an accelerometer to diagnose the winding electrical and mechanical faults. Winding and core vibrations for various degrees of inter-turn fault, axial movement and disc displacement under different load conditions are studied.
AB - The role of transformer in electricity network reliability and safe operation is quite crucial. Therefore, their monitoring, maintenance and management is vitally important for utility operators. Simpler, non-invasive and online condition monitoring method which is sensitive to incipient faults is in demand for transformer diagnosis. Although vibration monitoring is considered as a valuable technique in industry for rotating machines, it is least explored for static electrical equipment such as transformer. In this study, core and winding vibrations in a dry type transformer is monitored using an accelerometer to diagnose the winding electrical and mechanical faults. Winding and core vibrations for various degrees of inter-turn fault, axial movement and disc displacement under different load conditions are studied.
KW - Dry type transformer
KW - Fault diagnosis
KW - Marine Transformer
KW - Winding vibration
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U2 - 10.1109/CMD.2018.8535726
DO - 10.1109/CMD.2018.8535726
M3 - Conference contribution
AN - SCOPUS:85059053445
T3 - 2018 Condition Monitoring and Diagnosis, CMD 2018 - Proceedings
BT - 2018 Condition Monitoring and Diagnosis, CMD 2018 - Proceedings
A2 - Abu-Siada, Ahmed
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Condition Monitoring and Diagnosis, CMD 2018
Y2 - 23 September 2018 through 26 September 2018
ER -