姓名：丁传仓

丁传仓，男，博士，副教授。

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等期刊一作、通讯发表论文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。

☆科研项目

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，省部级开放课题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50余篇，其中一作、通讯20余篇，论文总被引1300余次。

近年发表的代表性论文如下：

(1) 信号处理与特征提取

1. Ding, Chuancang; Huang, Xiaoting; Wang, Baoxiang; Li, Xuan; Huang, Weiguo; Zhu, Zhongkui, Low-Rank Informed Adaptive Chirp Mode Decomposition and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Conditions, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 74, 2025. (中科院二区)

2. Ding, Chuancang; Wang, Baoxiang; Jiang, Xingxing; Du, Guifu; Huang, Weiguo; Zhu, Zhongkui, Low-Rank Constrained Multikernel General Parameterized Time-Frequency Transform and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Condition, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 73, 2024. (中科院二区)

3. Huang, Weiguo; Ma, Juntao; Qiu, Tianxu; Liao, Yi; Mao, Lei; Ding, Chuancang*; Wang, Jun; Shi, Juanjuan, Iteratively reweighted accurate sparse low-rank matrix estimation algorithm for bearing fault diagnosis, MEASUREMENT, 225, 2024. (中科院二区)

4. 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-AN INTERNATIONAL JOURNAL, 23 (3) 1403-1422, 2024. (中科院二区)

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, 2022. (中科院二区)

6. Ding, Chuancang; Wang, Baoxiang, Sparsity-assisted adaptive chirp mode decomposition and its application in rub-impact fault detection, MEASUREMENT, 188, 2022. (中科院二区)

7.Wang, Baoxiang; Ding, Chuancang*, Transient feature identification from internal encoder signal for fault detection of planetary gearboxes under variable speed conditions, MEASUREMENT, 171, 2021. (中科院二区)

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 (1), 2021. (中科院三区)

9. 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 (9)7982-7993, 2020. (中科院一区Top)

10. Wang, Baoxiang; Ding, Chuancang*, Hierarchical Frequency-Domain Sparsity-Based Algorithm for Fault Feature Extraction of Rolling Bearings, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 69 (9) 6228-6240, 2020. (中科院二区)

11. 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, 2020. (中科院二区)

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. (中科院二区)

13. Wang, Baoxiang; Liu, Guoqing; Dai, Jihai; Ding, Chuancang*, Improved Variational Mode Decomposition Based on Scale Space Representation for Fault Diagnosis of Rolling Bearings, SENSORS, 25 (11), 2025. (中科院三区)

14. Wang, Baoxiang; Ding, Chuancang*, An Adaptive Signal Denoising Method Based on Reweighted SVD for the Fault Diagnosis of Rolling Bearings, SENSORS, 25 (8), 2025. (中科院三区)

(2) 深度学习与智能诊断

15. Chen, Kai; Ding, Chuancang*; Wang, Baoxiang; Wang, Jun; Huang, Weiguo; Zhu, Zhongkui*, Interpretable Transfer Unrolling Network for Intelligent Cross-Domain Condition Monitoring of Rotating Machinery, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 74, 2025. (中科院二区)

16. Ding, Chuancang; Zhou, Yanlin; Liu, Xuyan; Wang, Baoxiang; Huang, Weiguo; Zhu, Zhongkui, Imbalanced Partial Transfer Network for Intelligent Machine Fault Diagnosis, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 74, 2025. (中科院二区)

17. Ju, Miao; Ding, Chuancang*; Huang, Weiguo; Zhu, Zhongkui; Shen, Changqing; Shi, Juanjuan, Local fusion generative adversarial network with dual-discriminator and parallel multipath and its application in machinery fault diagnosis with imbalanced data, MEASUREMENT SCIENCE AND TECHNOLOGY, 35 (11), 2024. (中科院三区)

18. Shi, Mingkuan; Ding, Chuancang*; Chang, Shuyuan; Shen, Changqing; Huang, Weiguo; Zhu, Zhongkui, Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 20 (4) 6356-6368, 2024. (中科院一区Top)

19. 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, 240, 2023. (中科院一区Top)

20. 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, 2023. (中科院一区Top)

21. Shi, Mingkuan; Ding, Chuancang*; Shi, Juanjuan; Jiang, Xingxing; Huang, Weiguo; Zhu, Zhongkui, Dimensionality reduction method based on similarity balance discriminant projection for bearing fault diagnosis, MEASUREMENT SCIENCE AND TECHNOLOGY, 33 (10), 2022. (中科院三区)

22. Que, Hongbo; Liu, Xuyan; Jin, Siqin; Huo, Yaoyan; Wu, Chengpan; Ding, Chuancang*; Zhu, Zhongkui, Partial Transfer Learning Method Based on Inter-Class Feature Transfer for Rolling Bearing Fault Diagnosis, SENSORS, 24 (16), 2024. (中科院三区)

(3) 图像处理与缺陷检测

23. Li, Qiancheng; Ding, Chuancang*; Wang, Baoxiang; Wang, Jun; Huang, Weiguo; Zhu, Zhongkui, Universal multimodal aggregation network with adaptive enhancement and semantic guidance for salient object detection, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 156, 111371, 2025. (中科院一区Top)

24. Li, Qiancheng; Ding, Chuancang*; Wang, Baoxiang; Jiao, Jinyang; Huang Weiguo; Zhu, Zhongkui, CDARNet: A robust cross-dimensional adaptive region reconstruction network for real-time metal surface defect segmentation[J]. Advanced Engineering Informatics, 67, 103514, 2025. (中科院一区Top)

研究团队网站：http://mcd.suda.edu.cn/main.htm

担任中国机械工程学会设备智能运维分会青年委员、江苏省振动工程学会青年委员等职务

关键装备故障诊断与智能运维

1、机械信号分析：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、关键部件故障智能识别与运维：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、智能运维等中的理论及应用研究。

3、图像处理及缺陷识别：深度学习、小样本数据分析等人工智能算法在图像处理、目标检测及缺陷识别等中的理论及应用研究。

担任中国机械工程学会设备智能运维分会青年委员、江苏省振动工程学会青年委员等职务

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

1. 车辆工程（学硕/专硕）

2. 载运工具运用工程（学硕/专硕）

3. 交通信息工程及控制（学硕/专硕）