Abstract detail

94 / 2021-03-30 12:08:22
Vibration Phase Information based Real-time Fault Detection Method for Power Transformers
Fault Diagnosis,Transformer Winding,Vibration,Phase
Machine condition monitoring and fault diagnosis
Final Paper
Guowei Zhou / Super High Voltage Branch of State Grid Zhejiang Electric Power Co., Ltd.
Hong Zheng / Hangzhou Kelin Electric Co., Ltd.
Jing Zheng / Zhejiang University
Hai Huang / Zhejiang University
Lingzhi Li / China Jiliang University
Xishan Jiang / Zhejiang University
Hui Yao / Super High Voltage Branch of State Grid Zhejiang Electric Power Co., Ltd.
Winding is regarded as the most failure-prone component in a transformer. According to the statistics, 70% of the total numbers of transformer winding failures are due to mechanical faults. It allows the application of the vibration analysis method in fault diagnosis of the internal components in a transformer, via observation of the transformer tank vibration. This paper shows that the tank vibration phase could provide “fault-related” information for winding fault diagnosis. Variation of vibration phases can be used as an indicator of variance in a transformer’s physical characteristics. A technique based on the transformer vibration phase is developed to evaluate the condition of windings. A set of tests are conducted on a three-phase power transformer to investigate the performance of the proposed method under abnormal operating conditions. The results are then analyzed by comparing the variations of vibration phases with and without faults. When the transformer winding is operating in a healthy condition, the vibration phase almost keeps unchanged with the current. Once a fault is introduced into the winding, the vibration phase alters dramatically with loads. The experiment results have proved that the proposed method based on transformer vibration phase can provide a sensitive and accurate measure of the winding faults.

 

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Important Dates

Abstract Submission Deadline:

 31st March 2021 15th April 2021

Extended Deadline: 1st Aug. 2022

 

Abstract Acceptance:

30th April  2021 Rollover

 

Full Paper Submission Deadline:

30th June 2021  14th July 2021

Extended Deadline: 15th Aug. 2022 

 

Notification of Acceptance:

15th August 2021 1st Sept. 2021

1st Sept. 2022

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