红外技术2023，Vol.45Issue(12)：1346-1350,5.
基于改进ANFIS的绝缘子紫外光斑评估方法
Assessment Method of Ultraviolet Spot Area for Insulators Based on Improved ANFIS
摘要
Abstract
Evaluation of insulator operation is important for safely operating transmission lines.Ultraviolet(UV)imaging is a quantitative method for evaluating insulators.Therefore,a UV spot area assessment method based on an improved ANFIS for insulators was proposed.First,an insulator pollution discharge test platform was built to study the discharge intensity of the insulators at different test distances and gains.Second,an ANFIS(adaptive neuro-fuzzy inference system)model based on Bayesian inference is established using the gain and ultraviolet spot area as training data.Finally,a field verification test was conducted.The results show that this method has good prediction accuracy and test efficiency and is suitable for the quantitative evaluation of ultraviolet imaging for insulators,which provides technical support for the evaluation of the operating state of insulators.关键词
绝缘子/紫外成像/贝叶斯/ANFIS/光斑面积Key words
insulator/ultraviolet imaging/Bayesian inference/ANFIS/spot area分类
信息技术与安全科学引用本文复制引用
徐国辉,谢宏伟,吕通发,牟鑫,鲍明正,吕超..基于改进ANFIS的绝缘子紫外光斑评估方法[J].红外技术,2023,45(12):1346-1350,5.基金项目
国网内蒙古东部电力有限公司科技项目(52664020001S). （52664020001S）
