摘要
为进一步提高异步电动机故障检测的准确性,将人工神经网络应用于异步电动机故障检测。通过提出一种基于BP神经网络的电机故障检测方法,设计了适合该检测系统的网络结构。仿真结果表明:相对于其他算法,该网络结构具有更快的学习速度和更高的学习精度,完全适用于电动机故障检测。
Artificial neural network was applied to detect the fault of asynchronous electromotor in order to improve the accuracy of asynchronous electromotor fault diagnosis. One fault diagnosis method for electromotor based on BP neural network was proposed,and the network structure was designed for this diagnosis system. The simulation result indicates that the net structure has mush faster learning speed and more superior learning precision compared with other algorithm. It is entirely practical for the fault diagnosis system of the electromotor.
出处
《中国测试技术》
2008年第3期135-137,共3页
CHINA MEASUREMENT & TESTING TECHNOLOGY
关键词
人工神经网络
异步电动机
故障检测
模式识别
模式分类
Artiticial neural network
Electromotor
Fault diagnosis system
Pattern recognition
Pattern classification
