Title :
An introduction of a condition monitoring system of electrical equipment
Author :
Wang, Zhan ; Guo, JiWei ; Xie, JingDong ; Tang, Guoqing
Author_Institution :
Southeast Univ., Nanjing, China
Abstract :
To detect the incipient faults of electrical equipment effectively and reduce the loss when faults occur, a prototype of condition monitoring system has been developed. This system integrates the on-line and off-line diagnosis technology to monitor the condition of electrical equipment. Through the analysis of history data, electrical test data and on-line data, it can also make decisions for the maintenance of electrical equipment. The system consists four parts: ANN-based condition assessor; ANN based fault classifier; intelligent prediction and maintenance decision support system; and knowledge based expert system. Test results show that this system has a high diagnosis accuracy and can make useful maintenance decisions
Keywords :
computerised monitoring; condition monitoring; decision support systems; diagnostic expert systems; fault diagnosis; insulation testing; maintenance engineering; neural nets; power apparatus; power engineering computing; power transformer insulation; power transformer testing; ANN based condition assessor; ANN based fault classifier; condition monitoring system; electrical equipment; electrical test data; fault diagnosis; intelligent prediction; knowledge based expert system; maintenance decision support system; neural networks; power system; power transformer; Circuit faults; Condition monitoring; Data analysis; Dissolved gas analysis; Electrical fault detection; History; Partial discharges; Power transformers; Prototypes; System testing;
Conference_Titel :
Electrical Insulating Materials, 2001. (ISEIM 2001). Proceedings of 2001 International Symposium on
Conference_Location :
Himeji
Print_ISBN :
4-88686-053-2
DOI :
10.1109/ISEIM.2001.973621
