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An Online Assessment of the Technical Condition of Electrical Equipment Using a Fuzzy Neural Identification Method

机译:使用模糊神经识别方法在线评估电气设备技术条件

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摘要

A method of online assessment of the technical condition of electrical equipment using approximating models is considered. The approximating model, which is essentially an adaptive fuzzy neural network (ANFIS), is constructed for the healthy condition of electrical equipment. The initial data used to educate the network and to check its settings is set up from the samples of actual transients recorded by a micropro-cessor recorder and presented in the COMTRADE format
机译:考虑了使用近似模型的电气设备技术条件的在线评估方法。 基本上是自适应模糊神经网络(ANFIS)的近似模型是为电气设备的健康状况构建的。 用于教育网络和检查其设置的初始数据从Microcro-Cessor Recorder记录的实际瞬变的样本设置并以COMTRADE格式呈现

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