摘要
分析了旋转机械故障的特性,在此基础上对基于BP算法的诊断方法进行了研究,建立了旋转机械故障诊断的神经网络模型,对基于BP网络的汽轮发电机组的故障进行了诊断。实验证明,基于BP网络的旋转机械故障诊断方法具有较高的使用价值。
The paper analyzes the characteristics of the rotating machinery vibration fault. A fault diagnosis method based on BP algorithm is introduced and the diagnosis model set up;then the paper researches on the fault diagnosis of vibration in turbogenerator. The proposed method based on BP neural network has high practical value in the rotating machinery fault diagnosis.
出处
《河北科技大学学报》
CAS
2003年第3期49-53,共5页
Journal of Hebei University of Science and Technology