The present status of maintenance strategies and the impact of maintenance on reliability
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 impr...
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Veröffentlicht in: | IEEE transactions on power systems 2001-11, Vol.16 (4), p.638-646 |
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creator | Endrenyi, J. Aboresheid, S. Allan, R.N. Anders, G.J. Asgarpoor, S. Billinton, R. Chowdhury, N. Dialynas, E.N. Fipper, M. Fletcher, R.H. Grigg, C. McCalley, J. Meliopoulos, S. Mielnik, T.C. Nitu, P. Rau, N. Reppen, N.D. Salvaderi, L. Schneider, A. Singh, Ch |
description | 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. |
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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.</description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/59.962408</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Cost function ; Degradation ; Deterioration ; Electric power generation ; Frequency ; Intervals ; Maintenance ; Maintenance management ; Mathematical model ; Mathematical models ; North America ; Power industry ; Power system modeling ; Power system reliability ; Probabilistic methods ; Probability theory ; Repair & maintenance ; Strategy ; Studies ; System performance</subject><ispartof>IEEE transactions on power systems, 2001-11, Vol.16 (4), p.638-646</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2001</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c367t-21465964728d06fd5a8e55888c8a9ba3411993d8429d0af0de618e130ac78c1f3</citedby><cites>FETCH-LOGICAL-c367t-21465964728d06fd5a8e55888c8a9ba3411993d8429d0af0de618e130ac78c1f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/962408$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/962408$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Endrenyi, J.</creatorcontrib><creatorcontrib>Aboresheid, S.</creatorcontrib><creatorcontrib>Allan, R.N.</creatorcontrib><creatorcontrib>Anders, G.J.</creatorcontrib><creatorcontrib>Asgarpoor, S.</creatorcontrib><creatorcontrib>Billinton, R.</creatorcontrib><creatorcontrib>Chowdhury, N.</creatorcontrib><creatorcontrib>Dialynas, E.N.</creatorcontrib><creatorcontrib>Fipper, M.</creatorcontrib><creatorcontrib>Fletcher, R.H.</creatorcontrib><creatorcontrib>Grigg, C.</creatorcontrib><creatorcontrib>McCalley, J.</creatorcontrib><creatorcontrib>Meliopoulos, S.</creatorcontrib><creatorcontrib>Mielnik, T.C.</creatorcontrib><creatorcontrib>Nitu, P.</creatorcontrib><creatorcontrib>Rau, N.</creatorcontrib><creatorcontrib>Reppen, N.D.</creatorcontrib><creatorcontrib>Salvaderi, L.</creatorcontrib><creatorcontrib>Schneider, A.</creatorcontrib><creatorcontrib>Singh, Ch</creatorcontrib><title>The present status of maintenance strategies and the impact of maintenance on reliability</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>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.</description><subject>Cost function</subject><subject>Degradation</subject><subject>Deterioration</subject><subject>Electric power generation</subject><subject>Frequency</subject><subject>Intervals</subject><subject>Maintenance</subject><subject>Maintenance management</subject><subject>Mathematical model</subject><subject>Mathematical models</subject><subject>North America</subject><subject>Power industry</subject><subject>Power system modeling</subject><subject>Power system reliability</subject><subject>Probabilistic methods</subject><subject>Probability theory</subject><subject>Repair & maintenance</subject><subject>Strategy</subject><subject>Studies</subject><subject>System performance</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqN0b1PxCAUAHBiNPE8HVydGgeNQ09ogcJoLn4ll7icgxPh6KtyaWkFOtx_L6YXBwfj9BLeD957PITOCV4QguUtkwvJC4rFAZoRxkSOeSUP0QwLwXIhGT5GJyFsMcY8JWbobf0B2eAhgItZiDqOIeubrNPWRXDaGUinXkd4txAy7eospgu2G7SJv2HvMg-t1Rvb2rg7RUeNbgOc7eMcvT7cr5dP-erl8Xl5t8pNyauYF4RyJjmtClFj3tRMC0h9C2GElhtdUkKkLGtBC1lj3eAaOBFASqxNJQxpyjm6nt4dfP85Qoiqs8FA22oH_RiUTAUoKyRP8upPWQheUsb-Aav0fyUpErz8Bbf96F0aVwlBecUIoQndTMj4PgQPjRq87bTfKYLV99IUk2paWrIXk7UA8OP2yS9D7JBU</recordid><startdate>20011101</startdate><enddate>20011101</enddate><creator>Endrenyi, J.</creator><creator>Aboresheid, S.</creator><creator>Allan, R.N.</creator><creator>Anders, G.J.</creator><creator>Asgarpoor, S.</creator><creator>Billinton, R.</creator><creator>Chowdhury, N.</creator><creator>Dialynas, E.N.</creator><creator>Fipper, M.</creator><creator>Fletcher, R.H.</creator><creator>Grigg, C.</creator><creator>McCalley, J.</creator><creator>Meliopoulos, S.</creator><creator>Mielnik, T.C.</creator><creator>Nitu, P.</creator><creator>Rau, N.</creator><creator>Reppen, N.D.</creator><creator>Salvaderi, L.</creator><creator>Schneider, A.</creator><creator>Singh, Ch</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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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.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/59.962408</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Cost function Degradation Deterioration Electric power generation Frequency Intervals Maintenance Maintenance management Mathematical model Mathematical models North America Power industry Power system modeling Power system reliability Probabilistic methods Probability theory Repair & maintenance Strategy Studies System performance |
title | The present status of maintenance strategies and the impact of maintenance on reliability |
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