【摘要】 分析了变压器绝缘的主要放电形式 ,设计了模拟变压器放电的 7种试验模型和 3种模拟空气中放电干扰的模型 ,进行了不同情况下模型的放电试验。使用数字化测量装置 ,取得了各种模型放电的放电量 相位信息。采用三维谱图提取放电指纹特征 ,并用人工神经网络ANN来识别不同的放电类型。研究结果表明 ,人工神经网络对油纸变压器绝缘放电有足够的识别能力。更多还原

【Abstract】 The main discharge types in insulation of electrical transformers were analysed, 7 kinds of experimental models simulating discharges in electrical transformers and 3 kinds of models simulating interfering discharges in air were designed and model experiments under some circumstances were performed. Using digital measuring device, the quantity phase information of discharge pulse current of models were obtained. The feature of discharge was extracted using the 3D pattern chart and the artificial neural networks was used to recognize the discharge models. The investigation shows that ANN has enough ability to recognize different types of discharge of oil paper insulation in transformers.更多还原