导师姓名：李永波
性别：
人气指数：99

所属院校：西北工业大学
所属院系：航空学院
职称：副教授
导师类型：
招生专业：
研究领域： [1]机械信号处理与分析[2]机械设备健康监测[3]机械设备性能评估与寿命预测[4]机械设... [展开]


研究领域： [1]机械信号处理与分析[2]机械设备健康监测[3]机械设备性能评估与寿命预测[4]机械设备动态测试与智能维护 [收起]




通讯方式 :
电子邮件：yongbo@nwpu.edu.cn


科研工作 :
2017-至今，?西北工业大学航空学院，副教授。?发表论文：[1]?Li Yongbo, Xu Minqiang, Wang Rixin, Huang Wenhu. A fault diagnosis scheme for rolling bearing based on local mean decomposition and improved multiscale fuzzy entropy[J].?Journal of Sound and Vibration, Vol. 360, Pages 277-299, 2016. (SCI：IF=2.593) (ESI高被引论文)[2]?Li Yongbo, Xu Minqiang, Wei Yu, Huang Wenhu. A new rolling bearing fault diagnosis method based on multiscale permutation entropy and improved support vector machine based binary tree[J].?Measurement, 77(2016): 80-94. (SCI：IF=2.359) (ESI高被引论文)[3]?Li Yongbo, Xu Minqiang, Wei Yu, Huang Wenhu. An improvement EMD method based on the optimized rational Hermite interpolation approach and its application to gear fault diagnosis[J].?Measurement, 63(2015):330-345. (SCI：IF=2.359) (ESI高被引论文)[4]?Li Yongbo, Xu Minqiang, Liang Xihui, Huang Wenhu. Application of bandwidth EMD and adaptive multi-scale morphology analysis for incipient fault diagnosis of rolling bearings[J].?IEEE Transactions on Industrial Electronics, 99 (2017): 1-10. (SCI，IF=7.168） （Top期刊)?[5]?Li Yongbo,?Yang Yuantao, Li Guoyan, Xu Minqiang, Huang Wenhu. A fault diagnosis scheme for planetary gearboxes using modified multi-scale symbolic dynamic entropy and mRMR feature selection[J].?Mechanical Systems and Signal Processing. 91 (2017): 295-312? (SCI：IF=4.116)?[6]?Li Yongbo, Liang Xihui, Xu Minqiang, Huang Wenhu. Early fault diagnosis of bearings based on ICD and tunable Q-factor wavelet transform. Mechanical Systems and Signal Processing[J].?Mechanical Systems and Signal Processing. 86 (2017): 204-223. (SCI：?IF=4.116)[7]?Li Yongbo, Li Guoyan, Yang yuantao, Liang Xihui, Xu Minqiang.?A fault diagnosis scheme for planetary gearboxes using?adaptivemulti-scale morphology filtering and hierarchical permutation entropy?[J].?Mechanical Systems and Signal Processing. Accepted. (SCI：?IF=4.116)