CAJ | 학술논문

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。
분석료변압기절연적주요방전형식，설계료모의변압기방전적7충시험모형화3충모의공기중방전간우적모형，진행료불동정황하모형적방전시험。사용수자화측량장치，취득료각충모형방전적방전량-상위신식。채용삼유보도제취방전지문특정，병용인공신경망락ANN래식별불동적방전류형。연구결과표명，인공신경망락대유지변압기절연방전유족구적식별능력。
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.