Algorithm of Transformer's Technical Condition Index Forecasting for Automation of Maintenance and Repair Planning

In December 2016, the Russian government issued Resolution No. 1401 "On Comprehensive Determination of Indicators of Technical and Economic Condition of Electric Power Industry Facilities, including Indicators of Physical Depreciation and Energy Efficiency of Electric Grid Facilities, and on Mo...

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Bibliographic Details
Published in2023 6th International Scientific and Technical Conference on Relay Protection and Automation (RPA) Vol. 1; pp. 1 - 15
Main Authors Kolobrodov, E.N., Voloshin, A.A., Kovalenko, A.I., Nikolaev, A.S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 18.10.2023
Subjects
automatic maintenance and repair planning
Automation
Energy resolution
Industries
machine learning
Maintenance engineering
Protective relaying
Switches
Technical condition index
technical condition index forecasting
Transformers
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Summary:In December 2016, the Russian government issued Resolution No. 1401 "On Comprehensive Determination of Indicators of Technical and Economic Condition of Electric Power Industry Facilities, including Indicators of Physical Depreciation and Energy Efficiency of Electric Grid Facilities, and on Monitoring of Such Indicators" [1] (hereinafter referred to as Resolution No. 1401), which allows electric power industry entities to switch from Planned Preventive Maintenance (PPM) to Maintenance and Repair (MRO) of equipment depending on the condition.
ISSN:2832-1278
DOI:10.1109/RPA59835.2023.10319873