On-Load Tap Changer Fault Diagnosis Based on Time Domain Characteristic Parameters and Vibration Signal Analysis

doi:10.3969/j.issn.1008-0198.2023.03.020

Hunan Electric Power ›› 2023, Vol. 43 ›› Issue (3): 125-132.doi: 10.3969/j.issn.1008-0198.2023.03.020

• Faults and Analysis • Previous Articles

On-Load Tap Changer Fault Diagnosis Based on Time Domain Characteristic Parameters and Vibration Signal Analysis

YANG Tong¹, JIANG Xiaofeng^2,3, YANG Ruilin^2,3, CHEN Wei¹

1. Wuling Power Corporation Limited, Changsha 410004,China;
2. State Power Investment Corporation Limited Hydropower Industry Innovation Center, Changsha 410004, China;
3. Hydropower Intelligent Engineering Technology Research Center, Changsha 410004,China

Received:2023-03-13 Revised:2023-04-14 Online:2023-06-25 Published:2023-06-25

Abstract

Abstract: Due to the frequent switching and strict operating conditions of on-load tap changers (OLTC), OLTC has become one of the most vulnerable parts of power transformers. The accurate diagnosis of OLTC fault is of great significance for ensuring the stable operation of the power system.Based on variational modal decomposition, the OLTC vibration signal is decomposed into several modal components. The time-domain characteristic parameters of the OLTC vibration signal are extracted based on the modal components, and a series of fault simulations are used to statistically analyze the time-domain characteristic parameters of the OLTC vibration signal. By establishing these time-domain characteristic parameters, an OLTC vibration signal database is established to achieve OLTC fault diagnosis.

Key words: mechanical faultdiagnosis, on-load tap changer, variational mode decomposition, vibration signal

CLC Number:

TM403.4

YANG Tong, JIANG Xiaofeng, YANG Ruilin, CHEN Wei. On-Load Tap Changer Fault Diagnosis Based on Time Domain Characteristic Parameters and Vibration Signal Analysis[J]. Hunan Electric Power, 2023, 43(3): 125-132.

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On-Load Tap Changer Fault Diagnosis Based on Time Domain Characteristic Parameters and Vibration Signal Analysis

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