摘要
在对提取神经网络输入结点数据源的方法进行详细分析的基础上,构造出设备状态监测及故障诊断的BP神经网络模型,同时利用实验方法确定出模型参数。最后用实验数据验证该系统对故障进行映射的可行性。
This paper analyses in detail the method to extract the data source for the neural network
nodes of input layer. A fault diagnosis method based on BP algorithm is introduced, and a model of
monitoring the state of the equipment, and the model parameters are obtained by trial method. In the end,
the feasibility of mapping between the characteristic parameters and the fault patterns based on the
system is verified by actual data.
出处
《西南民族大学学报（自然科学版）》
CAS
2004年第3期386-390,共5页
Journal of Southwest Minzu University(Natural Science Edition)
关键词
旋转机械
设备状态监测
故障诊断
BP神经网络
rotating machinery
monitoring of equipment State
fault diagnosis
BP network
