Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 593-602 |
| Number of pages | 11 |
| Journal | IEEE Systems Journal |
| Volume | 6 |
| Issue number | 4 |
| Early online date | 29 Dec 2011 |
| DOIs | |
| Publication status | Published - Dec 2012 |
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Critical Component Identification in Reliability Centered Asset Management of Power Distribution Systems Via Fuzzy AHP. / Dehghanian, P.; Fotuhi-Firuzabad, M.; Bagheri-Shouraki, S.; Kazemi, A. A. Razi.
In: IEEE Systems Journal, Vol. 6, No. 4, 12.2012, p. 593-602.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Critical Component Identification in Reliability Centered Asset Management of Power Distribution Systems Via Fuzzy AHP
AU - Dehghanian, P.
AU - Fotuhi-Firuzabad, M.
AU - Bagheri-Shouraki, S.
AU - Kazemi, A. A. Razi
PY - 2012/12
Y1 - 2012/12
N2 - Confronted with the power system restructuring trend reforming the past-regulated power systems, the need for a narrower insight on the costly maintenance strategies seems imperative. It falls within the realm of reliability centered maintenance to enhance the cost effectiveness of power distribution maintenance policies. From a practical point of view, this paper devises a novel approach on the basis of the analytical hierarchical process (AHP) accompanied by fuzzy sets theory to determine the most critical component types of distribution power systems to be prioritized in maintenance scheduling. In the presence of many qualitative and quantitative attributes, fuzzy sets can effectively help to deal with the existent uncertainty and judgment vagueness. As demonstrated in a practical case study, the proposed fuzzy AHP method introduces its applicability and efficiency in the asset management procedure.
AB - Confronted with the power system restructuring trend reforming the past-regulated power systems, the need for a narrower insight on the costly maintenance strategies seems imperative. It falls within the realm of reliability centered maintenance to enhance the cost effectiveness of power distribution maintenance policies. From a practical point of view, this paper devises a novel approach on the basis of the analytical hierarchical process (AHP) accompanied by fuzzy sets theory to determine the most critical component types of distribution power systems to be prioritized in maintenance scheduling. In the presence of many qualitative and quantitative attributes, fuzzy sets can effectively help to deal with the existent uncertainty and judgment vagueness. As demonstrated in a practical case study, the proposed fuzzy AHP method introduces its applicability and efficiency in the asset management procedure.
U2 - 10.1109/jsyst.2011.2177134
DO - 10.1109/jsyst.2011.2177134
M3 - Article
VL - 6
SP - 593
EP - 602
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 4
ER -