08/2025, PhD thesis oral defense and doctoral graduation dinner
Photo with the examination committee of the oral defense 
Posts by Collection
portfolio
2024–2025, relax with labmates
Lab break, hanging around Zhuhai and Macao 
2022–2023, experiment days
Enjoying the lab along at midnight 
2019–2021, my master’s memories in Weihai
A place where the sky meets the sea 
2016–2017, factory days
Bumping into a Tongji schoolmate in the factory
2014-2015, undergraduate design project
Carbon fiber reinforced plastics (CFRP) wheel 
2012-2014, My precious time in HIT Racing Team (HRT)
The most exciting thing that I’ve ever done! 
2011-2015, memories in pursuing my bachelor’s degree
Hanging around and enjoying campus life 
publications
A Traditional Fault Diagnosis Method
Published in IEEE Transactions on Industrial Electronics, 2023
This paper uses a relatively traditional method for fault mechanism analysis and manual feature design.
Recommended citation: Conggan Ma, Jiaming Li*, Nic Zhang, Feifei Bu, Zhixin Yang. Open-circuit radial stray magnetic flux density based noninvasive diagnosis for mixed eccentricity parameters of interior permanent magnet synchronous motors in electric vehicles. IEEE Transactions on Industrial Electronics. 2023, 70(2): 1983–1992.
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A Dataset Study
Published in Mechanical Systems and Signal Processing, 2025
This paper proposes a novel dataset and checks the relability of data itself.
Recommended citation: Jiaming Li, Hao Chen, Xian-Bo Wang, Zhi-Xin Yang*. A comprehensive gear eccentricity dataset with multiple fault severity levels: Description, characteristics analysis, and fault diagnosis applications. Mechanical Systems and Signal Processing. 2025, 224: 112068.
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An Intelligent Fault Diagnosis Method
Published in IEEE Transactions on Industrial Informatics, 2025
This paper integrates physical kowledge into deep-learning models for gear fault severity levels classification with better intepretability.
Recommended citation: Jiaming Li, Xian-Bo Wang, Hao Chen, Zhi-Xin Yang*. Physical-knowledge-guided and interpretable deep neural networks for gear fault severity level diagnosis. IEEE Transactions on Industrial Informatics. 2025, 21(6): 4892–4903.
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A Review
Published in Mechanical Systems and Signal Processing, 2026
This paper reviews knowledge integration in intelligent fault diagnosis for better interpretability and generalizability.
Recommended citation: Jiaming Li, Chenhui Zheng, Zhiwei Wu, Hao Chen, Xian-Bo Wang, Zhi-Xin Yang*. Review of fault diagnosis for rotating machinery: Prior knowledge integration in data-driven methods benefits model interpretability and generalizability. Mechanical Systems and Signal Processing. 2026, 242: 113623.
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talks
UNIfied 2026-SMMI
Published:
Master student Hao Yang contributed a conference paper and gave an oral presentation. 
Expedition to Peak Huanglianyu
Published:
Summit the Peak — Huanglianyu (1,818m) 
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.