Open AccessResearch on Fault Diagnosis Method of Electric Energy Metering Equipment Based on Expert System
Author(s) -
Hao Xu,
Pengcheng Li,
Zhongxiao Cong,
Yi Pan,
Zhanhe Wu,
Xu Ren
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/632/4/042072
Subject(s) - metering mode , fault (geology) , automation , reliability engineering , energy (signal processing) , engineering , field (mathematics) , expert system , computer science , artificial intelligence , mechanical engineering , statistics , mathematics , seismology , pure mathematics , geology
The realization of the full coverage of the smart meter and the metering automation terminal across the entire network brings great challenges to the operation and maintenance of the field. Aiming at the long-term problems of on-site failure operation and maintenance of the electric energy metering equipment, this paper combines the metering and collecting of failure types to analyse the main causes of equipment failure, based on the field topology structure for fault reasoning, and designs fault diagnosis and fault knowledge base as the core module for fault diagnosis. The expert system has been proved by practice that this method can effectively diagnose and solve the failure problem of the energy metering equipment, which is beneficial to realize the intelligentization of on-site fault diagnosis and improve the on-site maintenance efficiency of the energy metering equipment, and has practical reference value.