摘要
根据电力电缆常见局部放电类型,提出了以局部放电信号三维谱图、放电次数及正负半波统计算子为特征量的XLPE电力电缆局部放电的BP人工神经网络模式识别方法,将该方法应用于模拟试验设计的5种典型局部放电模型,识别结果表明,该方法是可行的,识别效果较好,具有实际应用价值。
According to the common types of partial discharge,a method on PD pattern recognition for XLPE power cable based on BPNN is introduced in this paper,which uses discharge times and statistics operators of3D chart of PD signal as inputs of BPNN.The method is applied to five typical XLPE PD patterns in the laboratory.The recognition result demonstrates that it is feasible and has considerable value for practical application.
出处
《高压电器》
CAS
CSCD
北大核心
2003年第4期35-37,共3页
High Voltage Apparatus
