Volume 32 Issue 5 - July 17, 2020 PDF
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Research of transformer fault monitoring system
Jiann-Fuh Chen*, Kai-Chong Cheng, Chun-Lung Yi, Yun-Fen Lee
Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan
 
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As the demand of electricity is growing, how to detect faults before  faults occur becomes a critical issue to avoid the huge economic losses caused by shutdown or damage of equipment. Online monitoring is necessary when power transformers operate under high voltage. Not only instant analysis and decision making can be done under the most efficient situations but also avoiding field dangers happen when abnormal phenomenan are found.
We have studied the partial discharge for more than ten years. We use online monitoring interface deal with these signal data from transient earth voltage, acoustic emission signals and high frequency current, then partial discharge features can be distinguished and faults location of the transformers can be determined(Fig. 1). Therefore, a good reference can be used by testing stuffs to make efficient instrument maintaining.

Fig.1  The architecture of transformer health check cloud expert system
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