基于支持向量机的绝缘子污秽度在线监测的研究
|
摘要
随着工业的迅速发展,绝缘子污秽度过大发生的闪络事件增多,给国家造成很大的经济损失。现有的绝缘子污秽度监测技术存在很大的弊端,本文以光纤传感器作为核心,将支持向量机原理技术和绝缘子污秽度监测结合在一起,在支持向量机中进行数据训练,将光功率损耗率、温度、湿度和污秽度等级联系起来。通过实际测量和支持向量机输出数据进行对比分析,结果表明本文所提方案的可靠性和有效性。
With the rapid development of industry,the occurrence of flashover events due to the insulator pollution is increasing,which causes great economic loss to the country. The existing insulator pollution monitor system having a lot of shortcomings,thus the study on the insulator pollution monitoring is carried out. Combing with support vector machine( SVM) and taking optical fiber sensor as the core,the insulator monitor system trains the data which are related to the power loss rate,temperature,humidity and pollution degree level in support vector machine( SVM).Through comparison and analysis of the actual measurement and the output data of support vector machine,the results prove the reliability and effectiveness of the proposed scheme.
With the rapid development of industry,the occurrence of flashover events due to the insulator pollution is increasing,which causes great economic loss to the country. The existing insulator pollution monitor system having a lot of shortcomings,thus the study on the insulator pollution monitoring is carried out. Combing with support vector machine( SVM) and taking optical fiber sensor as the core,the insulator monitor system trains the data which are related to the power loss rate,temperature,humidity and pollution degree level in support vector machine( SVM).Through comparison and analysis of the actual measurement and the output data of support vector machine,the results prove the reliability and effectiveness of the proposed scheme.
引文
[1]石梅.输电线路绝缘子污秽度在线监测技术浅析[J].机电信息,2012(33):96-97.
[2]焦尚彬,刘丁.基于最小二乘支持向量机的高压绝缘子污秽程度评定[J].电力系统自动化,2006,30(6):61-65.
[3]吴尚.光传感器在绝缘子盐密测试中的应用[J].华北电力技术,2012(9):38-43.
[4]王思捷,胡滨,黄松,等.基于光传感技术的现场污秽度在线监测装置在热带海岛污湿特征下的研究及应用[J].电瓷避雷器,2014(2):104-107.
[5]焦尚彬,刘丁,郑岗,等.基于最小二乘支持向量机的绝缘子等值附盐密度预测[J].中国电机工程学报,2006,26(2):149-153.
[6]刘涛,王华.传感器非线性校正的遗传支持向量机方法[J].电子测量与仪器学报,2011,25(1):56-60.
[7]焦卫东,林树森.整体改进的基于支持向量机的故障诊断方法[J].仪器仪表学报,2015,36(8):1861-1870.
[8]高压电力设备外绝缘污秽等级:GB 5582—93[S].北京:中国标准出版社,1993.
[2]焦尚彬,刘丁.基于最小二乘支持向量机的高压绝缘子污秽程度评定[J].电力系统自动化,2006,30(6):61-65.
[3]吴尚.光传感器在绝缘子盐密测试中的应用[J].华北电力技术,2012(9):38-43.
[4]王思捷,胡滨,黄松,等.基于光传感技术的现场污秽度在线监测装置在热带海岛污湿特征下的研究及应用[J].电瓷避雷器,2014(2):104-107.
[5]焦尚彬,刘丁,郑岗,等.基于最小二乘支持向量机的绝缘子等值附盐密度预测[J].中国电机工程学报,2006,26(2):149-153.
[6]刘涛,王华.传感器非线性校正的遗传支持向量机方法[J].电子测量与仪器学报,2011,25(1):56-60.
[7]焦卫东,林树森.整体改进的基于支持向量机的故障诊断方法[J].仪器仪表学报,2015,36(8):1861-1870.
[8]高压电力设备外绝缘污秽等级:GB 5582—93[S].北京:中国标准出版社,1993.