朱可恒
v 基本情况
姓名：朱可恒
学位/职称/导师：博士、讲师、硕导
所在系所：机械电子
办公电话：021-38282639
联系地址：上海浦东新区海港大道1550号物流楼319室
电子邮箱：khzhu@shmtu.edu.cn
v 教育经历：
2005.09-2013/10 大连理工大学能源与动力学院内燃机专业，博士
2001.09-2005.07 大连理工大学动力工程系内燃机专业，学士
v 工作经历：
2018.05-至今 糖心vlog，糖心vlog机电系，讲师
2014.08-2018.04 上海理工大学，机械学院，讲师
2019.09-2020.07 上海交通大学，访问学者
v 学术与社会兼职：
v 奖励与荣誉：
v 研究方向：信号处理理论与方法在故障特征提取中的应用，基于机器学习的设备智能诊断和性能评估
v 科研成果：
主持与参与科研项目（纵向、横向）
代表性学术成果
[1]Zhu Keheng, Xuecheng Yue, Dejian Sun, Shichang Xiao and Hu Xiong. Rolling bearing fault feature extraction using local maximum synchrosqueezing transform and global fuzzy entropy. International Journal of Acoustics and Vibration, 2022, 27(1): 37-44.
[2] Zhu Keheng, Chen Liang and Hu Xiong. Rolling element bearing fault diagnosis based on multi-scale global fuzzy entropy, multiple class feature selection and support vector machine. Transactions of the Institute of Measurement and Control, 2019, 41(14): 4013-4022.
[3] Zhu Keheng, Chen Liang and Hu Xiong. A multi-scale fuzzy measure entropy and infinite feature selection based approach for rolling bearing fault diagnosis. Journal of Nondestructive Evaluation, 2019, 38(4): 90.
[4] Zhu Keheng. Performance degradation assessment of rolling element bearings based on hierarchical entropy and general distance. Journal of Vibration and Control, 2018, 24(14): 3194-3205.
[5] Zhu Keheng,Chen Liang and Hu Xiong. Rolling element bearing fault diagnosis by combining adaptive local iterative filtering, modified fuzzy entropy and support vector machine. Entropy, 2018, 20(12): 926.
[6] Zhu Keheng and Song Xigeng. Cross-fuzzy entropy-based approach for performance degradation assessment of rolling element bearings. Proceedings of the IMechE, Part E: Journal of Process Mechanical Engineering, 2018, 232(2): 173-185.
[7] Zhu Keheng, JiangXiaohui, Chen Liang, Li Haoli. Performance degradation assessment of rolling element bearings using improved fuzzy entropy. Measurement Science Review, 2017, 17(5): 219-225.
[8] Zhu Keheng and Li Haolin. A rolling element bearing fault diagnosis approach based on hierarchical fuzzy entropy and support vector machine. Proceedings of the IMechE, Part C: Journal of Mechanical Engineering Science, 2016,230(13): 2314-2322.
[9] Zhu Keheng, Song Xigeng and Xue Dongxin. A roller bearing fault diagnosis method based on hierarchical entropy and support vector machine with particle swarm optimization algorithm. Measurement, 2014, 47: 669-675.
[10] Zhu Keheng, Song Xigeng and Xue Dongxin. Incipient fault diagnosis of roller bearings using empirical mode decomposition and correlation coefficient. Journal of Vibroengineering, 2013, 15(2): 597-603.
v 主要讲授的课程：
机械设计基础、机械工程材料（本科生课程）
v 学生（人才）培养成绩：