Intelligent Classify Methods Based on Machine Learning for Convertor Station Failure Analysis Report

doi:10.11985/2019.01.015

Abstract

Abstract:

The convertor station failure analysis reports accumulate massively and can’t be fully utilized, for that the convertor station failure analysis reports are classified intelligently based on machine learning. Firstly text segmentation is done for failure analysis report. According to segmentation result, Na?ve bayes theory is used to build model and the relationship between the failure and key words is extralted. Another method is that using cluster analysis and similarity analysis to classify failure analysis report according to segmentation result.

Key words: Failure analysis report, Bayes theory, text segmentation, cluster, similarity

CLC Number:

TM721.1

ZHANG Yanlong,ZHAI Denghui,XU Dan,ZHANG Zibiao. Intelligent Classify Methods Based on Machine Learning for Convertor Station Failure Analysis Report[J]. Journal of Electrical Engineering, 2019, 14(1): 83-88.

Figures/Tables 7

References 12

[1]	何恒靖, 赵伟 . 云计算在电力用户用电信息采集系统中的应用研究[J]. 电测与仪表, 2016 (1):1-7.
	He Hengjing, Zhao Wei . Application of cloud computing in power users electricity information collection system[J]. Electrical Measurement & Instrumentation, 2016 (1):1-7.
[2]	郭涛, 张东英, 高曙 . 关于变电站异常处理专家系统设计的几点思考[J]. 电力系统及其自动化学报, 2002,14(6):33-34.
	Gou Tao, Zhang Dongying, Gao Shu . Some thoughts on the design of the expert system of abnormal substation handling[J]. Proceedings of the CSU-EPSA, 2002,14(6):33-34.
[3]	杨一帆, 傅军 . 电力客户用电行为特征挖掘与预测[J]. 电测与仪表, 2016 (S1):111-114.
	Yang Yifan, Fu Jun . Power consumption behavior of power customers and prediction[J]. Electrical Measurement & Instrumentation, 2016 (S1):111-114.
[4]	吴欣 . 基于改进贝叶斯网络方法的电力系统故障研究[D]. 杭州:浙江大学, 2005.
[5]	闫友彪, 陈元琰 . 机器学习的主要策略综述[J]. 计算应用研究, 2004(7):4-10.
	Yan Youbiao, Chen Yuanyan . Overview of the main strategies for machine learning[J]. Application Research of Computers, 2004(7):4-10.
[6]	吴泓灏 . 基于贝叶斯网的电力系统诊断方法[D]. 成都:西南交通大学, 2015.
[7]	熊凌飞, 韩民晓 . 基于组合方式的多端柔性直流输电系统控制策略[J]. 电网技术, 2015,39(6):1586-1593. doi: 10.13335/j.1000-3673.pst.2015.06.019
	Xiong Lingfei, Han Minxiao . The control strategy of multiterminal flexible DC transmission system based on combination mode[J]. Power System Technology, 2015,39(6):1586-1593. doi: 10.13335/j.1000-3673.pst.2015.06.019
[8]	赵森林 . 特高压直流保护动作策略优化[J]. 电网技术, 2017,36(4):143-150.
	Zhao Senlin . Special high voltage dc protection action strategy optimization[J]. Power System Technology, 2017,36(4):143-150.
[9]	李大虎, 江全元, 曹一家 . 基于聚类的支持向量机回归模型在电力系统暂态稳态预测中的应用[J]. 电工技术学报, 2006,21(7):75-80.
	Li Dahu, Jiang Quanyuan, Cao Yijia . Application of support vector machine regression model based on clustering in transient state prediction of power system[J]. Transactions of China Electrotechnical Society, 2006,21(7):75-80.
[10]	鲁国起, 张轶, 张焰 . 基于二分类的聚类负荷模型及其在电力系统可靠性评估中的应用[J]. 电力系统保护与控制, 2011,39(10):31-36. doi: 10.7667/j.issn.1674-3415.2011.10.006
	Lu Guoqi, Zhang Yi, Zhang Yan . Cluster load model based on dichotomies and its application in power system reliability evaluation[J]. Power System Protection and Control, 2011,39(10):31-36. doi: 10.7667/j.issn.1674-3415.2011.10.006
[11]	李耀池 . 数据挖掘技术在电力负荷预测系统中应用的研究[D]. 辽宁:辽宁工程技术大学, 2006.
[12]	杨洁, 刘开培 . 多端柔性直流输电系统小信号建模[J]. 中国电机工程学报, 2015,35(16):4015-4025. doi: 10.13334/j.0258-8013.pcsee.2015.16.003
	Yang Jie, Liu Kaipei . Small signal modeling of multi- terminal flexible dc transmission system[J]. Proceedings of the CSEE, 2015,35(16):4015-4025. doi: 10.13334/j.0258-8013.pcsee.2015.16.003

故障报告	提取得到的特征词	故障类别
故障分析报告样本1	电压,跳闸,短路,开关,变压器,断路器	B₁：断路器设备故障
故障分析报告样本2	电压,跳闸,三段保护	B₂：直流线路故障
故障分析报告样本3	电压,短路,开关, 电容器	B₁：断路器设备故障
故障分析报告样本4	跳闸,开关,电压, 断路器	B₁：断路器线路故障
故障分析报告测试1	开关,电压,断路器, 短路	待求

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[2]	Fei Li, Yao Huang, Fan Wu, Yang Liu, Xing Zhang. Research on Clustering Equivalent Modeling of Large-Scale Photovoltaic Power Plants [J]. Chinese Journal of Electrical Engineering, 2018, 4(4): 80-85.
[3]	CHANG Zhiyong, TAO Lizun, LI Jiajia, XI Zengfei. The Measure and Search Method of Process Knowledge Element Based on Machining Intent [J]. Journal of Mechanical Engineering, 2018, 54(3): 160-168.
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[13]	LIU Xiaomin, HUANG Shuiping, WANG Jianhui, LIN Guijie. Conceptual Design Based on TRIZ & Function Analogy for Product Innovation [J]. Journal of Mechanical Engineering, 2016, 52(23): 34-42.
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[15]	XU Gongyue, DING Huafeng, SUN Yuyu. Optimization of Face-shovel Excavator’s Attachment Based on Improved NSGA-II [J]. Journal of Mechanical Engineering, 2016, 52(21): 35-43.