Partial discharge pattern recognition is considered as an effective tool for insulation fault diagnosis on high voltage electric equipment.
局部放电模式识别是一种高电压设备绝缘故障诊断的有效方法。
At the same time, fuzzy hierarchical clustering and fuzzy equivalence matrix method based on fuzzy logical are designed for partial discharge pattern recognition as contrasting experiment.
与此同时，分别设计了模糊系统聚类法和模糊等价矩阵法两种模糊网络模式识别方法对局部放电信号进行识别，作为局部放电模式识别对比实验。
This paper brings forward a new method to use statistical features of partial discharge (PD) gray intensity images for PD pattern recognition.
结合图象识别技术，提出一种采用局部放电灰度图象的统计特征区分局部放电类型的方法。
The experimental results show the good ability in automatic pattern recognition of partial discharge for insulation defects.
人工缺陷模型试验数据的测试结果表明，该方法在局部放电缺陷类型识别中得到了良好的识别效果。
The experimental results show the good ability in automatic pattern recognition of partial discharge for insulation defects.
人工缺陷模型试验数据的测试结果表明，该方法在局部放电缺陷类型识别中得到了良好的识别效果。
应用推荐