DocumentCode :
1545426
Title :
The present status of maintenance strategies and the impact of maintenance on reliability
Author :
Endrenyi, J. ; Allan, R.N. ; Anders, G.J. ; Asgarpoor, Sohrab ; Billinton, Roy ; Chowdhury, Nasirul ; Dialynas, Evangelos N. ; Fletcher, R.H. ; McCalley, James ; Meliopoulos, S. ; Mielnik, T.C. ; Nitu, P. ; Reppen, N.D. ; Salvaderi, L. ; Schneider, A.
Author_Institution :
Ontario Power Technol., Ont.
Volume :
16
Issue :
4
fYear :
2001
fDate :
11/1/2001 12:00:00 AM
Firstpage :
638
Lastpage :
646
Abstract :
In this paper, the most frequently used power system maintenance strategies are reviewed. Distinction is made between strategies where maintenance consists of replacement by a new (or “good as new”) component and where it is represented by a less costly activity resulting in a limited improvement of the component´s condition. Methods are also divided into categories where maintenance is performed at fixed intervals and where it is carried out as needed. A further distinction is made between heuristic methods and those based on mathematical models; the models themselves can be deterministic or probabilistic. From a review of present maintenance policies in electric utilities, it is concluded that maintenance at fixed intervals is the most frequently used approach, often augmented by additional corrections. Newer “as needed”-type methods, such as reliability-centered maintenance (RCM), are increasingly considered for application in North America, but methods based on mathematical models are hardly ever used or even considered. Yet only mathematical approaches where component deterioration and condition improvement by maintenance are quantitatively linked can determine the effect of maintenance on reliability. Although more complex, probabilistic models have advantages over deterministic ones: they are capable of describing actual processes more realistically, and also facilitate optimization for maximal reliability or minimal costs
Keywords :
electricity supply industry; maintenance engineering; optimisation; power system reliability; North America; component replacement; deterministic models; electric utilities; fixed maintenance intervals; heuristic methods; mathematical models; power system maintenance strategies; probabilistic models; reliability impact; reliability-centered maintenance; Cost function; Degradation; Frequency; Maintenance; Mathematical model; North America; Power industry; Power system modeling; Power system reliability; System performance;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.962408
Filename :
962408
Link To Document :
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