Performance of Reliability Models for Repairable Systems: Dealing with Information Uncertainty

被引：0

作者：

Blancke, Olivier ^{[1
]}

McCarthy, Gabriel ^{[2
]}

Payette, Mathieu ^{[3
]}

Bibeau, Lucie

Boudreau, Jean-Francois ^{[1
,4
]}

Cote, Alain ^{[1
]}

Komljenovic, Dragan ^{[1
]}

Messaoudi, Darragi ^{[5
]}

Souilah, Bannour ^{[5
]}

机构：

[1] Inst Rech Hydro Quebec IREQ, Sustainabil Assets Dept, 1800 Blvd Lionel Boulet, Varennes, PQ J3X 1S1, Canada

[2] Univ Sherbrooke UdeS, Sherbrooke, PQ J1K 0A5, Canada

[3] Univ Quebec Trois Rivieres UQTR, 3351 Blvd Forges, Trois Rivieres, PQ G8Z4M3, Canada

[4] Inst Rech Hydro Quebec IREQ, Dept Data Sci, Varennes, PQ, Canada

[5] Hydro Quebec TransEnergie HQ, Montreal, PQ, Canada

来源：

2020 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS 2020) | 2020年

关键词：

Reliability Modeling; Repairable Systems; Data Quality; Power Transmission; Performance Evaluation; NHPP;

D O I：

10.1109/rams48030.2020.9153672

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The paper presents an approach regarding the reliability estimation of complex repairable equipment of electrical utilities. Large quantities of maintenance data have been acquired over the past decades through maintenance data collecting systems. Before using the data, attention must be paid to the uncertainties in data and biases regarding the reliability estimates they generate. The aim of this paper is to propose a novel methodology regarding reliability assessment and evaluation of critical repairable equipment to support maintenance strategy considering uncertain maintenance data. The method integrates two different statistical models for analyzing historical failure data considering their uncertainties. A new validation framework is proposed to evaluate model performance considering those uncertainties. A case study is presented for Hydro-Quebec's major transmission equipment. The limits of the models and their dependability on information uncertainty are discussed.

引用

页数：6

共 7 条

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[3]

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[5]

Rigdon S. E., 2000, Statistical methods for the reliability of repairable systems

[6]

Saxena A., 2010, INT J PROGN HEAL MAN, V1, P4

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Trindade, D ;

Nathan, S .

ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 2005 PROCEEDINGS, 2005, :539-544

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