姓名：丁传仓

丁传仓，男，博士。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18新利体育 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

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

········关键装备故障诊断与智能运维········

1、机械信号处理：稀疏表示、时频分析和自适应分解等先进信号处理方法在微弱故障提取中的理论及应用研究。

2、工业大数据分析与智能运维：深度学习、可解释深度网络、迁移学习等人工智能算法在大数据分析、故障模式识别、剩余寿命预测、智能运维中的理论及应用研究。

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

每年招收——载运工具运用工程、车辆工程、交通信息工程及控制——等方向研究生2名

›  载运工具运用工程（学硕/专硕）

›  车辆工程（学硕）

›  交通信息工程及控制（学硕/专硕）