基于核极限学习机自编码器的转盘轴承寿命状态识别

潘裕斌,王华,陈捷,洪荣晶

Life condition recognition of slewing bearing based on kernel extreme learning machine based auto-encoder

Yu-bin PAN,Hua WANG,Jie CHEN,Rong-jing HONG

表 6 多传感器特征融合下不同识别模型的寿命状态识别精度

Tab.6 Life condition recognition accuracy of different recognition models under multi-sensor feature fusion

% 模型 Pv Pf MFO-MLKELM-AE 99.5 100.0 MFO-KELM 97.0 100.0 MFO-MLELM-AE 91.5 93.5 MFO-ELM 88.5 92.0