Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
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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
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
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
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