Tianci Zhang

Doctoral Degree in Engineering

With Certificate of Graduation for Doctorate Study

Personal Information

Date of Birth:1995-11-01
Date of Employment:2024-08-29
Business Address:中南大学新校区中铝科技大楼A215
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        张天赐,1995年生,工学博士,中南大学机电工程学院讲师。2018年获西安交通大学工学学士学位,2023年获西安交通大学工学博士学位,2022-2023年于新加坡国立大学访学。曾获陕西高等学校科学技术研究优秀成果一等奖、博士生国家奖学金、中国光谷奖学金等荣誉。

        研究方向为复杂装备(航空航天发动机、大型掘进机、人形机器人等)的健康管理与智能运维,深度参与国家自然科学基金、国家重点研发计划等项目7项。在IEEE TII、IEEE TIE、MSSP等国际著名学术期刊发表研究论文20篇(ESI高被引论文3篇),论文被引总次数1200+,单篇最高被引次数360+,H-index为15,公开授权国家发明专利1项。担任IEEE TIE、MSSP、RESS等国际著名学术期刊审稿人。目前在唐进元教授科研团队(航空动力传动极端服役性能精准设计制造研究团队)从事教学科研工作。

        欢迎对机械信号处理、智能故障诊断、机器学习与深度学习等方向感兴趣的同学加入课题组,来信必复!



学术研究

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代表性成果

1. (SCI,JCR一区,IF=11.648Zhang T, et al. Domain Discrepancy-guided Contrastive Feature Learning for Few-shot Industrial Fault Diagnosis under Variable Working Conditions [J]. IEEE Transactions on Industrial Informatics, 2023. 

2. (SCI, JCR一区, IF=8.162Zhang T, et al. Prior Knowledge-Augmented Self-Supervised Feature Learning for Few-Shot Intelligent Fault Diagnosis of Machines [J]. IEEE Transactions on Industrial Electronics, 2022.

3. (SCI, JCR一区, IF=8.162)Zhang T, et al. A Small Sample Focused Intelligent Fault Diagnosis Scheme of Machines via Multi-modules Learning with Gradient Penalized Generative Adversarial Networks[J]. IEEE Transactions on Industrial Electronics, 2021.

4. (SCI, JCR一区, IF=8.4)Zhang T, et al. Feature-level Consistency Regularized Semi-supervised Scheme with Data Augmentation for Intelligent Fault Diagnosis under Small Samples [J]. Mechanical Systems and Signal Processing, 2023. 

5.SCI, JCR一区, IF=5.911, ESI热点Zhang T, et al. Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions[J]. ISA Transactions, 2022.

6.SCI, JCR一区, IF=5.332Zhang T, et al. Toward Small Sample Challenge in Intelligent Fault Diagnosis: Attention-Weighted Multidepth Feature Fusion Net with Signals Augmentation [J]. IEEE Transactions on Instrumentation and Measurement, 2022.

7. SCI, JCR一区, IF=5.332Zhang T, et al. SASLN: Signals Augmented Self-Taught Learning Networks for Mechanical Fault Diagnosis Under Small Sample Condition [J]. IEEE Transactions on Instrumentation and Measurement, 2021.

8. 陈景龙, 张天赐, 訾艳阳. 小样本下基于自我学习的变工况机械故障智能诊断方法, CN110647923A[P]. 2020.


2022.12  to  2023.12
新加坡国立大学 
 Mechanical Engineering 
 无 
 博士生联合培养

2018.9  to  2023.12
西安交通大学 
 Mechanical Engineering 
 With Certificate of Graduation for Doctorate Study 
 Doctoral Degree in Engineering

2014.9  to  2018.6
西安交通大学 
 Mechanical Engineering 
 University graduated 
 Bachelor's Degree in Engineering

2024.8  to  Now
中南大学机电工程学院
机电工程学院
讲师

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