Huang Hongqiao, Tan Cong, Wang Fengjiao, et al. Research on burnout fault analysis of disassembly smart electricity meter and corresponding strategy[J]. 2026, 63(3).
Huang Hongqiao, Tan Cong, Wang Fengjiao, et al. Research on burnout fault analysis of disassembly smart electricity meter and corresponding strategy[J]. 2026, 63(3).DOI:
The number of disassembly smart electricity meters caused by the reincarnation
replacement
failure
and demolition of electricity meters has increased dramatically
and it is of great significance to analyze the faults of disassembly smart electricity meters to reuse and improve the reliability of disassembly smart electricity meter. Based on the fault data of disassembly smart electricity meter in a province
this paper analyzes and summarizes the internal and external influencing factors of disassembly smart electricity meter faults. The correlation analysis is used to carry out the correlation analysis of fault historical data. Combined with meteorological
historical calibration and re-calibration data
it is analyzed and clear that the non-compliance of the wire process and the non-compliance of the wiring material are the main reasons for the burnout meters. The strategy of improving the reliability of smart electricity meters is proposed to improve the quality of on-site assembly and copper-aluminum transition joints
and the measured data are compared and analyzed. The results show that after applying the proposed strategy
the burnout rate of smart electricity meters decreases from 82.73% to 34.55%
and the burnout rate of live wire terminals decreases from 81.44% to 35.01%
which not only directly reduces the burnout rate of low-voltage stations in the province
but also effectively improves the installation and operation and maintenance standardization of metering assets.