南方电网技术2025，Vol.19Issue(5)：137-145,9.DOI:10.13648/j.cnki.issn1674-0629.2025.05.014
基于改进T-S模糊模型的智能电能表寿命预测方法
Life Prediction Method for Smart Maters Based on Modified T-S Fuzzy Model
摘要
Abstract
In response to the current problem of only single standard to evaluate the meter in China and a lower accuracy in its life prediction under complex environment stress,a deep research on the life prediction of smart meters under complex environment stress is conducted.The failure mechanism of smart meters is studied through the analysis of 6 stresses existing in environment which affect smart meter's life.In addition,a smart meter's life prediction solution based on T-S(Takagi-Sugeno)fuzzy model with particle swarm optimization is proposed to address the difficulty of predicting lifespan due to the small number of fault samples and long lifespan of intelligent energy meters.Then stress and lifespan data of smart meters under four typical climatic conditions in China are collected for experimental verification of lifespan prediction,and experiments about the life prediction are made through these data.The experimental results show that the proposed approach is an effective way to predict the life of smart meters under different environments and various environmental parameters,with higher accuracy than the original T-S fuzzy model algorithm.关键词
智能电能表/寿命预测/T-S模糊模型/粒子群算法/环境应力Key words
smart maters/life prediction/T-S fuzzy model/particle swarm optimization/environmental stress分类
信息技术与安全科学引用本文复制引用
李丹,莫冰,潘广泽..基于改进T-S模糊模型的智能电能表寿命预测方法[J].南方电网技术,2025,19(5):137-145,9.基金项目
国家重点研发计划资助项目(2021YFB2012503).Supported by the National Key Research and Development Program of China(2021YFB2012503). （2021YFB2012503）
