Title :
Methods of approximate reasoning for power system equipment condition and reliability analysis
Author :
Tomsovic, K. ; Baer, B.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Abstract :
Traditional power system maintenance and equipment condition monitoring schedules have been based on manufacturer recommended fixed time intervals. Under greater economic pressures, electric utilities have begun: to shift towards reliability centered maintenance or other maintenance programs with longer maintenance intervals; and to load equipment significantly beyond manufacturer ratings. This work focuses on developing an information theoretic framework for systematically assessing equipment condition and incorporating this into maintenance, diagnostic and operational practices. A numerical example highlights the approach
Keywords :
electricity supply industry; inference mechanisms; maintenance engineering; power apparatus; power system reliability; uncertainty handling; approximate reasoning; electric utilities; equipment condition assessment; maintenance intervals; maintenance programs; manufacturer ratings; power system equipment condition analysis; power system equipment reliability analysis; reliability centered maintenance; Condition monitoring; Dissolved gas analysis; Electric variables measurement; Job shop scheduling; Maintenance; Power generation economics; Power system analysis computing; Power system reliability; System testing; Vibration measurement;
Conference_Titel :
Intelligent Systems Applications to Power Systems, 1996. Proceedings, ISAP '96., International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3115-X
DOI :
10.1109/ISAP.1996.501090
