Design of sound monitoring and fault diagnosis system for dry-type transformers

Autor:	Qinghua Wang, Lu Yulin, Guo Shouchun, Weidong Wu, Zhengyang Wu, Li Ma
Rok vydání:	2021
Předmět:	geography geography.geographical_feature_category business.industry Computer science law Electrical engineering business Transformer Fault (power engineering) Sound (geography) law.invention
Zdroj:	IOP Conference Series: Earth and Environmental Science. 770:012002
ISSN:	1755-1315 1755-1307
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e2cab3acee160fd28335ec6993e05b3b https://doi.org/10.1088/1755-1315/770/1/012002 Zobrazit plný text záznamu