|
|
|
| Research on transformer fault diagnosis based on fuzzy c-means and improved normalization method |
| Cui Qing1, Fang Xin2, Zhang Zhilei1, Wang Tao1, Zhang Tianwei3 |
1. Hebei Electric Power Company Shijiazhuang Power Supply Company, Shijiazhuang 050051;
2. College of Electrical Engineering, Northeast Electric Power University, Jilin, Jilin 132012;
3. Beijing Runwei Tianhua Power Technology Co., Ltd, Beijing 102211 |
|
|
|
|
Abstract Dissolved gas analysis (DGA) is an important method for transformer fault diagnosis. A transformer fault diagnosis model based on fuzzy c-means algorithm (FCM) is established in this paper. In order to study the influence of the different normalization methods of the sample (considering the sensitivity of different gas reaction faults) on the clustering results in the FCM algorithm model, firstly, three methods are used to normalize the dissolved gas component samples, including deviation standardization, general concentration normalization method and characteristic concentration normalization method. Then the normalized sample is used as the input of the FCM algorithm, and the fault type of the sample is determined by the obtained membership matrix. The example calculation results show that the normalization of characteristic concentration can improve the accuracy of fault diagnosis.
|
|
Received: 16 April 2019
Published: 19 November 2019
|
|
|
|
| Cite this article: |
|
Cui Qing,Fang Xin,Zhang Zhilei等. Research on transformer fault diagnosis based on fuzzy c-means and improved normalization method[J]. Electrical Engineering, 2019, 20(11): 46-48.
|
|
|
|
| URL: |
|
http://dqjs.cesmedia.cn/EN/Y2019/V20/I11/46
|
[1] 李伟涛. 电力变压器劣化状态综合评价方法研究[D]. 保定: 华北电力大学, 2013.
[2] 陈伟根, 万福, 顾朝亮, 等. 变压器油中溶解气体拉曼剖析及定量检测优化研究[J]. 电工技术学报, 2016, 31(2): 236-243.
[3] 李赢, 舒乃秋. 基于模糊聚类和完全二叉树支持向量机的变压器故障诊断[J]. 电工技术学报, 2016, 31(4): 64-70.
[4] 李恩文, 王力农, 宋斌, 等. 基于改进模糊聚类算法的变压器油色谱分析[J]. 电工技术学报, 2018, 33(19): 4594-4602.
[5] 杨廷方. 变压器在线监测与故障诊断新技术的研究[D]. 武汉: 华中科技大学, 2008.
[6] 蔡金锭, 叶荣, 陈汉城. 回复电压多元参数回归分析的油纸绝缘老化诊断方法[J]. 电工技术学报, 2018, 33(21): 5080-5089.
[7] 黄国泰, 郭弟弟. 应用初始斜率特征量评估变压器中绝缘油微水含量状况[J]. 电气技术, 2016, 17(10): 53-58.
[8] 何平. 变压器内部放电故障诊断系统的设计与研究[J]. 电气技术, 2016, 17(4): 97-100.
[9] 陈子龙, 冀卓婷, 郑重, 等. 基于传递函数和小波变换的变压器故障诊断研究[J]. 电气技术, 2017, 18(12): 30-37.
[10] 祝顺才, 蔡金锭, 王岭. 基于变权-模糊综合评判法的绝缘状态诊断研究[J]. 电气技术, 2017, 18(4): 16-21. |
|
|
|
2019, Vol. 20 
