Scholar
Ruyi Huang
Google Scholar ID: TKhH1_kAAAAJ
City University of Hong Kong
Fault Diagnosis
PHM
Deep Learning
Transfer Learning
Machine Learning
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Citations
4,171
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20
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Publications
1 items
FaultGPT: Industrial Fault Diagnosis Question Answering System by Vision Language Models
2025
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Background
Focusing on artificial intelligent methods, such as deep learning and transfer learning, for the intelligent fault diagnosis and prognostics of industrial equipment, especially for compound fault diagnosis.
Co-authors
6 total
Konstantinos C. Gryllias
Professor, Department of Mechanical Engineering, KU Leuven, Belgium
Shaohui Zhang
Dongguan University of Technology
Jiaxian Chen
South China University of Technology
Fugee Tsung, Fellow of ASA, ASQ, IISE, IAQ
Chair Professor, HKUST
Xin Zhang
The Hong Kong University of Science and Technology
Jingkang Liang
Technical University of Denmark