Open AccessDesign of sound monitoring and fault diagnosis system for dry-type transformers
Author(s) -
Weidong Wu,
Zhengyang Wu,
Shouchun Guo,
Yulin Lu,
Lingling Ma,
Qinghua Wang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/770/1/012002
Subject(s) - transformer , signal processing , matlab , computer science , fault detection and isolation , engineering , electronic engineering , electrical engineering , digital signal processing , programming language , voltage , actuator
This paper focuses on several common fault phenomena and possible causes of dry-type transformer. MATLAB programming realizes the processing of acoustic signal. Through the encapsulation of GUI interface program and the processing and analysis of a large number of fault signals, fault sets are formed. Through the actual transformer fault acoustic signal processing, the main fault frequency of the acoustic signal is extracted and used as an important criterion for transformer fault detection.