Title :
Linking O&M data to equipment reliability improvement
Author_Institution :
KEMA T&D Consulting, Netherlands
Abstract :
This panel presentation illustrates how failure analysis fits into the greater schemes of condition assessment, equipment reliability modeling and O&M improvement. It highlights how an electric utility can use O&M data to improve power system performance by: establishing accurate failure probabilities, life time expectancies; using actual data to improve the accuracy of predictive reliability studies; and establishing system performance without the use of costly assessment or monitoring systems.
Keywords :
electricity supply industry; power system measurement; power system reliability; probability; O&M data; costly assessment; electric utility; equipment reliability improvement; failure probabilities; life time expectancies; monitoring systems; power system performance; predictive reliability studies; Accuracy; Data analysis; Failure analysis; Inspection; Joining processes; Power industry; Power system analysis computing; Power system modeling; Power system reliability; System performance;
Conference_Titel :
Power Engineering Society General Meeting, 2004. IEEE
Print_ISBN :
0-7803-8465-2
DOI :
10.1109/PES.2004.1372903
