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

电子邮箱:khzhu@shmtu.edu.cn

v  教育经历:

2019.09-2020.07上海交通大学,访问学者

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

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: 

代表性学术成果

[1]Zhu Keheng, XuechengYue, Dejian Sun, Shichang Xiao and Hu Xiong.Rolling bearing fault feature extraction using local maximum synchrosqueezingtransform 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 andSong 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 Kehengand 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 XigengandXueDongxin. 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, SongXigeng and XueDongxin.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  硕士招生专业和要求:踏实


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