Title :
GIS based multilevel intelligent fault diagnosis system on electric power equipment
Author :
An, Wendou ; Sun, Caixin ; Zhou, Quan ; Yang, Ji
Author_Institution :
Key Lab of High Voltage Eng. & Electr. New Technol., Chongqing Univ., China
Abstract :
Along with the application which AM/FM/GIS has been used in distribution network strengthening, at present it has become a technique development direction that SCADA should integrate with AM/FM/GIS. In pace with electrified wire netting scale growing immensely, the equipment requirements are increasing and their function is more and more advanced. It can not satisfy the requirements of a practical system to adopt traditional concentrated and single fault diagnosis methods. We designed a distributed multilevel intelligent fault diagnosis method in this paper. First resolve the equipment fault diagnosis of the whole system into a fault diagnosis of each subsystem, then, according to the characteristic of the equipment type, transfer many sorts of fault diagnosis means from the knowledge-base to carry on cooperation fault diagnosis under the control of multilevel intelligent fault diagnosis tactics. Leave the final diagnosis result with a fault database to offer system-making-policy and alarm information.
Keywords :
SCADA systems; fault diagnosis; geographic information systems; power apparatus; power distribution faults; power system analysis computing; AM; FM; GIS; SCADA; distribution network; electric power equipment; geographic information system; multilevel intelligent fault diagnosis system; Circuit faults; Fault diagnosis; Geographic Information Systems; Information analysis; Intelligent networks; Intelligent systems; Power system reliability; Real time systems; Spatial databases; Wire;
Conference_Titel :
Electrical Insulation, 2004. Conference Record of the 2004 IEEE International Symposium on
Print_ISBN :
0-7803-8447-4
DOI :
10.1109/ELINSL.2004.1380612