基于紫外成像法的复合绝缘子表面电晕放电量的估计
In order to estimate the corona discharge intensity on the surface of composite insulator, the UV image facular area parameter is extracted with digital image processing algorithm, and the relations of facular area to the apparent discharge magnitude, observe distance and the imager”s gain are studied, then finally an apparent discharge magnitude estimation model based on adaptive neuro-fuzzy inference system(ANFIS) is established.
复合绝缘子 电晕放电量 紫外成像法
王胜辉 律方成 刘云鹏
华北电力大学电气与电子工程学院,保定,071003
国内会议
西安
中文
302-303
2013-10-17（万方平台首次上网日期，不代表论文的发表时间）