Open AccessFault Diagnosis of On-load Tap-changer Based on Vibration Signal
Author(s) -
Huang Wenquan,
Changqing Peng,
Liang Jin,
Jiacheng Liu,
Yuqi Cai
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/605/1/012005
Subject(s) - tap changer , fault (geology) , vibration , transformer , control theory (sociology) , computer science , engineering , voltage , electronic engineering , electrical engineering , acoustics , artificial intelligence , physics , control (management) , seismology , geology
On-load tap-changer (OLTC) is an important part of large-scale load transformers, and its fault will directly affect the reactive power flow regulation of the power system and the stability of the load center voltage. In this paper, a fault state diagnosis method based on vibration signal is proposed for fault diagnosis of tap changer. The vibration signals are decomposed by wavelet packet transform and calculated energy entropy to obtain the state information of the tap changer. The experimental data shows that the state characteristics are obvious under different faults, which lays a foundation for in-depth study of fault diagnosis.