Title :
Remote monitoring and fault diagnosis system for power transformer based on HMM
Author :
Suxiang, Qian ; Hongsheng, Hu ; Jian, Cao ; Gongbiao, Yan
Author_Institution :
Jiaxing Univ., Jiaxing
Abstract :
This paper aims at large-scale power transformer, introduces Hidden Markov Models theory into power transformer fault diagnosis field, and a fault diagnosis method using the HMM is put forward. Some issues and their settling methods about the HMM applying into power transformer brings are further analyzed. The fault diagnosis principle bases on the HMM is discussed in detail. The power transformer faults are classified and each of their characteristic variables is determined, accordingly, the fault diagnosis model library for power transformer is researched. Finally, the fault diagnosis system for large-scale power transformer is designed.
Keywords :
hidden Markov models; power system measurement; power transformers; HMM; Hidden Markov models; fault diagnosis; large scale power transformer; remote monitoring; Educational institutions; Fault diagnosis; Hidden Markov models; Instruments; Large-scale systems; Pattern classification; Power system modeling; Power transformers; Probability; Remote monitoring; Fault diagnosis; HMM; Power transformer; Remote monitoring;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4350982