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 4 多领域特征下不同识别模型的寿命状态识别结果

Tab.4 Life condition recognition result of different recognition models under multi-domain features

模型 P/% tT/s tt/s MFO-MLKELM-AE 99.5 13.596 0.016 MFO-KELM 97.0 5.223 0.015 MFO-MLELM-AE 91.5 4.763 0.012 MFO-ELM 88.5 1.872 0.002