面向滚动轴承全生命周期故障诊断的GA-OIHF Elman神经网络算法

卓鹏程, 严瑾, 郑美妹, 夏唐斌, 奚立峰

GA-OIHF Elman Neural Network Algorithm for Fault Diagnosis of Full Life Cycle of Rolling Bearing

ZHUO Pengcheng, YAN Jin, ZHENG Meimei, XIA Tangbin, XI Lifeng

表3 基于GA-OIHF Elman神经网络模型的全生命周期故障诊断MSE

Tab.3 MSE of full life cycle fault diagnosis of GA-OIHF Elman neural network model

故障状态与 故障部件 神经网络类型 MSE ¯ 正常 OIHF Elman 3.21×10-14 GA-OIHF Elman 0.0087 轻度退化 OIHF Elman 0.0022 GA-OIHF Elman 0.0043 中度退化 OIHF Elman 0.0316 GA-OIHF Elman 0.0186 重度退化 OIHF Elman 0.0069 GA-OIHF Elman 0.0036 滚动体 OIHF Elman 0.0061 GA-OIHF Elman 0.0079 内圈 OIHF Elman 0.0113 GA-OIHF Elman 0.0039 外圈 OIHF Elman 0.0270 GA-OIHF Elman 0.0164