模糊度算法融入新型结构实现输变电设备油温监测

输变电设备内油温的高低是电力设备能否正常运行的关键。针对输变电设备运行的特征,设计了油温监测的硬件结构,以及输变电设备内部油温检测的整体框架;在输变电设备运行中融入模糊度算法,从中提取出油温诊断信息,估算出局部油温发生异常的信息;通过采用模糊理论中的最大隶属度原理,融入模糊数学方法,计算出油温信息的模糊度,实现了油温的估计与评测。试验数据表明,该技术方案监测准确度较高,散热效果好。

Ambiguity Algorithm Integrated into New Structure to Realize Oil Temperature Monitoring of Power Transmission and Transformation Equipment

The oil temperature in the power transmission and transformation equipment is the key to the normal operation of the power equipment. Based on the operating characteristics of the power transmission and transformation equipment,the hardware structure of the oil temperature monitoring is designed,and the overall framework of the oil temperature detection in the power transmission and transformation equipment is designed. In addition,the fuzzy degree algorithm is incorporated to extract the oil temperature diagnostic information during the operation of the transmission and transformation equipment,and the information of local oil temperature abnormality is estimated. By using the principle of maximum degree of membership in fuzzy theory,the fuzzy mathematical method is integrated to calculate The ambiguity of oil temperature information enables the estimation and evaluation of oil temperature. Test data shows that the technical scheme has higher monitoring accuracy and better heat dissipation effect.