引用本文: | 谭贵生,曹生现,赵波,魏宏建,刘丹丹.基于关联规则与变权重系数的变压器状态综合评估方法[J].电力系统保护与控制,2020,48(1):88-95.[点击复制] |
TAN Guisheng,CAO Shengxian,ZHAO Bo,et al.An assessment of power transformers based on association rules and variable weight coefficients[J].Power System Protection and Control,2020,48(1):88-95[点击复制] |
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摘要: |
为了提高变压器诊断的准确性和适应设备检修的发展趋势,克服传统智能算法的局限性,提出一种基于关联规则和变权重系数的变压器状态综合评估的方法。根据试验和监测数据建立评估体系,通过9种综合故障和24种单项故障状态量,利用关联规则分别计算置信度和变权重系数,结合变压器的运行状态与检修对照关系,诊断变压器的整体指标。实验结果表明该方法准确率达到91%,能够准确评估电力变压器的健康状态。该方法可为运维人员做设备检修提供科学指导方案,也为其他高压设备的状态评估提供参考和借鉴。 |
关键词: 电力变压器 状态评估 关联规则 变权重系数 故障诊断 |
DOI:10.19783/j.cnki.pspc.190072 |
投稿时间:2019-01-16修订日期:2019-05-05 |
基金项目:国家重点研发计划项目资助(2018YFB5100803);国家自然科学基金项目资助(51606035);吉林省科技厅项目资助(20190302079GX);云南省教育厅项目资助(2016ZDX261) |
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An assessment of power transformers based on association rules and variable weight coefficients |
TAN Guisheng,CAO Shengxian,ZHAO Bo,WEI Hongjian,LIU Dandan |
(Tourism and Culture of Yunnan University, Lijiang 674100, China;School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China;Fuyang Normal University, Fuyang 236037, China;Lijiang Power Supply Bureau, Yunnan Power Grid Corporation, Lijiang 674100, China) |
Abstract: |
To enhance the accuracy of the fault diagnosis of power transformer and adapt to the development trend of power equipment condition, and overcome the limitations of traditional intelligent algorithms, a method of comprehensive evaluation of power transformer status based on association rules and variable weight coefficients is proposed in this paper. According to the experimental tests and monitored data, the evolution system is established. Through 9 comprehensive diagnosis faults and 24 single fault status, the belief confidence and variable weight coefficients calculated by the correlation rules, as well as the relationship between the running status of power transformer and the related maintenance records, the overall performance of power transformer can be derived. The experimental results reveal that the accuracy of the method can reach to 91%, which can accurately assess the health status of the power transformer. Also, the proposed method can guide the maintenance personnel to service equipment and provide reference for the status evaluation of the other high-voltage power equipment. This work is supported by National Key Research and Development Program of China (No. 2018YFB5100803), National Natural Science Foundation of China (No. 51606035), Project of Science and Technology Department of Jilin Province (No. 20190302079GX), and Project of Education Department of Yunnan Province (No. 2016ZDX261). |
Key words: transformer condition assessment association rule variable weight coefficient fault diagnosis |