Optimization of the Maintenance and Repair Plan for Power Grid Equipment Using A Risk-Oriented Approach and Efficiency Indicators

Currently, the energy sector is transitioning from a system of preventive maintenance to performing technical maintenance and repairs (TM&R) based on the actual condition of equipment, including the use of a risk-oriented approach (ROA). This shift from preventive maintenance to condition-based maintenance in the energy sector is largely a necessity. An increase in equipment wear, averaging 65% across the industry, combined with a decrease in investment levels, has led to an underperformance of maintenance activities on critical equipment essential for the reliable operation of power facilities.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/rpa65165.2024.10932895
Primary Topic
Reliability and Maintenance Optimization
Type
article
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article

Optimization of the Maintenance and Repair Plan for Power Grid Equipment Using A Risk-Oriented Approach and Efficiency Indicators

E. N. Kolobrodov, A.I. Kovalenko, A.S. Nikolaev, A Yakunin et al.
Reliability and Maintenance Optimization
article

Optimization of the Maintenance and Repair Plan for Power Grid Equipment Using A Risk-Oriented Approach and Efficiency Indicators

E. N. Kolobrodov, A.I. Kovalenko, A.S. Nikolaev, A Yakunin, M.V. Tsuran, T.V. Ketova
article en

Abstract

Currently, the energy sector is transitioning from a system of preventive maintenance to performing technical maintenance and repairs (TM&R) based on the actual condition of equipment, including the use of a risk-oriented approach (ROA). This shift from preventive maintenance to condition-based maintenance in the energy sector is largely a necessity. An increase in equipment wear, averaging 65% across the industry, combined with a decrease in investment levels, has led to an underperformance of maintenance activities on critical equipment essential for the reliable operation of power facilities.

Moscow Power Engineering Institute (RU)
Openalex Percentile: Top 65%
Reliability and Maintenance Optimization
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