丁传仓教师主页

个人简介 丁传仓，男，博士，讲师，硕士生导师。2021年6月毕业于西安交通大学大学机械工程专业，随后进入苏州大学轨道交通学院工作。在IEEE Transactions on Industrial Electronics、ISA Transactions、IEEE Transactions on Instrumentation and Measurement、Mechanical Systems and Signal Processing等期刊发表论文20余篇，获国家授权专利10余项。担任ISA Transactions、Measurement、IEEE Sensors Journal等多个国际SCI期刊论文评审人。科研课题研究方向为机械信号分析与设备故障监测，包含稀疏表示与时频分析、大数据与深度学习等，主持：国家自然科学基金青年科学基金1项，中国博士后科学基金面上项目资助1项，江苏省自然科学基金青年项目1项。学术论文在IEEE Transactions on Industrial Electronics、Reliability Engineering & System Safety、Structural Health Monitoring、Reliability Engineering and System Safety、Knowledge-Based Systems等权威期刊/会议上发表论文30余篇，论文总被引500多次。近年发表的代表性论文如下：[1]Shi Mingkuan, Ding Chuancang*, Wang Rui, Shen Changqing, Huang Weiguo, Zhu Zhongkui, Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery, Reliability Engineering & System Safety, 109601, 2023.[2]Ding Chuancang, Huang Weiguo, Shen Changqing, Jiang Xingxing, Wang Jun, Zhu Zhongkui*, Synchroextracting frequency synchronous chirplet transform for fault diagnosis of rotating machinery under varying speed conditions, Structural Health Monitoring, 14759217231181300, 2023.[3]Li Xuan*, Huang Jiaqing, Ding Chuancang, Guo Ran, Niu Weilong, Dynamic Modeling and Analysis of an RV Reducer Considering Tooth Profile Modifications and Errors, Machines, 11, 626, 2023.[4]Shi Mingkuan, Ding Chuancang*, Wang Rui, Song Qiuyu, Shen Changqing, Huang Weiguo, Zhu Zhongkui, Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis, Knowledge-Based Systems, 260, 110172, 2023.[5]Ding Chuancang, Zhao Ming, Lin Jing*, Liang Kaixuan, Jiao Jinyang, Kernel ridge regression-based chirplet transform for non-stationary signal analysis and its application in machine fault detection under varying speed conditions, Measurement, 192, 110871, 2022.[6]Ding Chuancang*, Wang Baoxiang, Sparsity-assisted adaptive chirp mode decomposition and its application in rub-impact fault detection, Measurement, 188, 110539, 2022.[7]Wang Baoxiang, Ding Chuancang*, Transient feature identification from internal encoder signal for fault detection of planetary gearboxes under variable speed conditions, Measurement, 171, 108761, 2021.[8]Ding Chuancang, Zhao Ming, Lin Jing*, Sparse feature extraction based on periodical convolutional sparse representation for fault detection of rotating machinery, Measurement Science and Technology, 32, 15008, 2020.[9]Wang Baoxiang, Ding Chuancang*, Hierarchical frequency-domain sparsity-based algorithm for fault feature extraction of rolling bearings, IEEE Transactions on Instrumentation and Measurement, 69, 6228-6240, 2020.[10]Ding Chuancang, Zhao Ming, Lin Jing*, Wang Baoxiang, Liang Kaixuan, Transient feature extraction of encoder signal for condition assessment of planetary gearboxes with variable rotational speed, Measurement, 151, 107206, 2020.[11]Ding Chuancang, Zhao Ming, Lin Jing*, Jiao Jinyang, Liang Kaixuan, Sparsity-based algorithm for condition assessment of rotating machinery using internal encoder data, IEEE Transactions on Industrial Electronics, 67, 7982-7993, 2019.[12]Ding Chuancang, Zhao Ming, Lin Jing*, Jiao Jinyang, Multi-objective iterative optimization algorithm based optimal wavelet filter selection for multi-fault diagnosis of rolling element bearings, ISA transactions, 88, 199-215, 2019.更多详细信息，请参见研究团队网站：http://mcd.suda.edu.cn/main.htm,教育经历 2018/03-2021/06,西安交通大学,机械工程,博士 2016/09-2018/03,西安交通大学,机械工程,硕士 2012/09-2016/06,山东大学,机械设计制造及其自动化,学士,工作经历 2021/09-至今,苏州大学 轨道交通学院,机械信号分析与设备状态监测,社会职务 担任中国振动工程学会、中国人工智能学会、中国仪器仪表学会等学会会员

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