一、基础信息

个人简介：朱可恒，男，汉族，1983年11月生，河南驻马店人，博士研究生学历，讲师。

（一）个人基础信息

性别：男

出生年月：1983.11

职务：讲师

博硕导：硕士生导师

电子邮箱：khzhu@shmtu.edu.cn

联系电话：021-38282615

（二）教育经历

2013年10月于大连理工大学内燃机专业，取得博士学位

2005年7月于大连理工大学内燃机专业，取得本科学位

（三）工作经历

曾就职于上海理工大学机械学院，教师（讲师）

二、科学研究

（一）研究领域及科研团队

研究领域：机械工程/机械电子工程

科研团队：胡雄教授团队

（二）代表性论文成果

[1] Zhu Keheng, Zhu Zhenhua, Xu Shanshan, Zhao Cheng and Ni Tianjun. Controlled synthesis of α-Fe2O3 nanocubes for gas-sensing applications: Feasibility of assessing crucian carp (Carassius auratus) freshness via trimethylamine levels. Food Chemistry, 2024, 441: 138361.

[2] Zhu Keheng, Zhou Shunming, Chen Liang, Gu Bangping and Hu Xiong. Rolling bearing fault diagnosis under variable working conditions using deep convolutional fuzzy system. Transactions of the Institute of Measurement and Control, 2023, DOI: 10.1177/01423312231184932.

[3] 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.

[4] 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.

[5] 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.

[6] 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.

[7] 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.

[8] Zhu Keheng, Jiang Xiaohui, Chen Liang, Li Haoli. Performance degradation assessment of rolling element bearings using improved fuzzy entropy. Measurement Science Review, 2017, 17(5): 219-225.

[9] 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.

[10] 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.

（三）代表性专利成果

2023年8月8日，一种基于深度卷积模糊系统的滚动轴承故障诊断方法。授权号：CN114021275B[P]，获国家发明专利（第一发明人）

2019年3月5日，基于改进多尺度模糊熵的滚动轴承故障诊断方法。授权号：      CN107228766B[P]，获国家发明专利（第一发明人）

三、教学信息

（一）授课信息

主讲本科生课程：机械工程材料，机械设计基础

（二）指导学生获奖情况

2020年指导本科生/研究生参加第五届中国大学生起重机创意大赛获全国一等奖（排名第二）