摘要
电子传感器具有频带宽、动态性能好、大电流不饱和等特点,可实时准确测量电力系统运行参数。笔者提出了一种基于电子式传感器的短路故障诊断系统,利用小波变换提取电子式传感器检测到的信号特征,采用神经网络进行故障分类和模式识别,并结合专家系统进行电力系统的短路故障诊断,利用MATLAB和C++对系统进行了仿真验证,结果表明该系统可以达到较好的短路故障识别效果。
Electrical transducer can be used to measure the real-time parameters of power system accurately due to its characteristics of wide bandwidth, large dynamic range, and unsaturation in measuring high current. This paper proposes a short-circuit fault diagnosis system based on electronic transducer. This system can extract the signals＇ details via wavelet transform for faults classification and pattern recognition with ANN, and can identify short-circuit fault in power system by means of expert system. On the platform of MATLAB and Visual C＋＋ , the system is simulated, and the results verify its effectiveness.
出处
《高压电器》
CAS
CSCD
北大核心
2011年第9期73-77,共5页
High Voltage Apparatus
关键词
传感器
电力系统
故障诊断
小波变换
transducer
power system
fault diagnosis
wavelet transform
