中国电机工程学报2001，Vol.21Issue(1)：21-24,4.
基于人工神经网络的变压器绝缘模型放电模式识别的研究
ANN BASED DISCHARGE PATTERN RECOGNITION OF INSULATION MODELS OF ELECTRICAL TRANSFORMERS
摘要
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.关键词
变压器绝缘/局部放电/人工神经网络/模式识别Key words
transformer insulation/partial discharge/ANN(artificial neural network)/pattern recognition分类
信息技术与安全科学引用本文复制引用
姜磊,金显贺..基于人工神经网络的变压器绝缘模型放电模式识别的研究[J].中国电机工程学报,2001,21(1):21-24,4.基金项目
国家自然科学基金资助项目(59637200)。 （59637200）
