Case Report: Early Moisture and Heat Defect Condition Sensing and Risk Management for 500 kV MOA based on Total Life Cycle Management

A "medical case" of MOA local heating defect in production practice is described in detail: through detailed data, maps and photos, the condition based maintenance theory based on equipment life cycle management is combined with engineering practice, and analyzed and studied from five link...

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Published in2023 IEEE 6th International Electrical and Energy Conference (CIEEC) pp. 2002 - 2007
Main Authors Wang, Qingbo, Qian, Guochao, Liu, Guojian, Guo, Chenjun, Xu, Xiaoqing, Zhao, Rongpu, Wei, Ruifeng, He, Yanqi
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.05.2023
Subjects
Arresters
Condition based maintenanc
Epoxy resin insulating cylinder
Infrared accurate temperature measurement
Life-cycle management for grid equipment
Local fever
Metal oxide arrester (MOA)
Moisture
Power measurement
Production
Substations
Temperature measurement
Temperature sensors
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Summary:A "medical case" of MOA local heating defect in production practice is described in detail: through detailed data, maps and photos, the condition based maintenance theory based on equipment life cycle management is combined with engineering practice, and analyzed and studied from five links: condition perception, diagnosis and evaluation, strategy formulation, power outage maintenance and measure feedback. It can provide experience reference for MOA technical supervision of substation operation and maintenance management personnel and technical technicians, and improve MOA fault detection rate. It can also provide fresh expression samples of equipment state laws for scientific researchers such as MOA fault intelligent diagnosis, state evaluation method of multi information fusion big data analysis, machine deep learning algorithm or digital twin technology, which is conducive to the deep integration of expert experience and knowledge in the process of equipment design, manufacturing and operation and maintenance with digital twins.
DOI:10.1109/CIEEC58067.2023.10166630