摘要
文中针对因分合闸线圈电流特征值提取不准确造成诊断结果不准确,当前断路器操作机构缺陷严重程度诊断方法缺失的问题,提出了一种以小波包能量为特征值、支持向量机为诊断算法的断路器弹簧操作机构缺陷诊断方法,同时利用特征数据对其劣化趋势进行了深入探索。通过对断路器的正常运行、控制回路线圈老化及铁心卡涩等数据的分析,验证了该方法的可行性。
In order to improve the inaccurate diagnosis results caused by extracting opening and closing current featureinaccurately and make up for the deficiency of operating mechanism of circuit breakers defect diagnosis technology in the aspectof severity,a diagnostic method based on the eigenvalues of wavelet packet energy and support vector machine( SVM)as anintelligent algorithm is proposed. Meanwhile,the characteristic data is utilized to explore the trend of the defect. In conclusion,the feasibility of the method is verified through the analysis of the data of the normal operation,the control loop fault and theiron core astringent defects of the circuit breakers.
作者
叶昱媛
沙浩源
梁君涵
郑建勇
戴永正
顾宇锋
YE Yuyuan;SHA Haoyuan;LIANG Junhan;ZHENG Jianyong;DAI Yongzheng;GU Yufeng(School of Electrical Engineering,Southeast University,Nanjing 210096,China;Jiangsu Nari Turbostar Electric Co.,Ltd.,Taizhou 225300,China)
出处
《电力工程技术》
2018年第4期71-77,共7页
Electric Power Engineering Technology
基金
江苏省重点研发计划项目(BE2016113)
江苏省研究生科研与实践创新计划项目(3216008711)
中央高校基本科研业务费专项资金资助