Abstract

In recent years, with the continuous growth of China’s electricity load, the power industry has developed rapidly. Power transformer is the most important and expensive in transmission and distribution system of large-scale power equipment, which undertakes the important task of power transmission. With the development of power system towards ultra-high voltage, large power grid and intelligence, it is particularly important to improve the safe operation level of transformers. Once the power transformer accident occurs, the repair time is longer and the influence is more serious. To solve this problem, a new power equipment fault diagnosis technology based on acoustic signals is studied in this paper, which is used to accurately diagnose and analyse the running state of the transformer. The simulation results show that the fault diagnosis based on acoustic signal is more accurate and can effectively diagnose the fault of power equipment.

Details

Title
Research on Power Equipment Fault Diagnosis Technology Based on Acoustic Signal
Author
Zou, Hongsen 1 ; Chen, Haoyang 1 ; Liu, Zhiyuan 2 ; Wang, Guohua 3 

 State Grid Ningxia Maintenance Company, Ningxia, China 
 State Grid Ningxia Electric Power Company, Ningxia, China 
 School of Telecommunications Engineering, Xidian University, Xi’an, China 
Publication year
2021
Publication date
May 2021
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2528492059
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.