摘要
介绍了一种神经网络与模糊算法相结合的自动设备故障诊断系统,即将人工神经网络对故障定位的一般搜索与模糊算法对故障定位的特殊规则相结合。系统运行结果说明本系统可以提高故障诊断的准确性。
This paper presents the design of an automatic equipment fault diagnosis system by integrating the general exploration procedure of artificial neural network with the specialized roles for faults allocation defined in fuzzy algorithms. The advantages of this method for improving the accuracy in fault diagnosis are revealed in program implementation.
出处
《大连轻工业学院学报》
2005年第3期218-221,共4页
Journal of Dalian Institute of Light Industry
关键词
人工神经网络
模糊计算
故障诊断
artificial neural network
fuzzy algorithm
fault diagnosis
