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School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, People's Republic of China
The State Key Laboratory of Engines, Tianjin University, Tianjin 300350, People's Republic of China
School of Mechanical Engineering, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, People's Republic of China
School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an 710121, People's Republic of China
State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
School of Mechatronics and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, People's Republic of China
Institute of Artificial Intelligence, Guangzhou University, Guangzhou 510006, People's Republic of China
[ "Jichao Zhuang received his MS degree from Yanshan University, Qinhuangdao, China, in 2021. He received the PhD degree in Mechanical Engineering from the School of Mechanical Engineering, Southeast University, Nanjing, China, in 2024. From May 2023 to May 2024, he was also a visiting PhD scholar in the Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore. Now, he is currently an Assistant Professor, School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, China. His main research interests are intelligent monitoring and fault diagnosis, Prognostic and Health Management for electromechanical and hydraulic systems, artificial intelligence and signal processing, and rehabilitation robots." ]
[ "Jiaxin Wu enrolled in the School of Mechanical and Electrical Engineering at Guangzhou University in 2024. Her primary research areas include: fault diagnosis, signal processing and deep learning, and embedded development." ]
[ "Guobin Pei obtained his Master's degree from Yanshan University in Qinhuangdao, China in 2020, and his PhD in Mechanical Engineering from the School of Mechanical Engineering at Tianjin University in 2025. He is currently serving as a postdoctoral scholar at Shanghai Jiao Tong University. His primary research focuses on fault diagnosis of transportation equipment and vibration signal analysis." ]
[ "Weigang Li (Member, IEEE) is currently a Professor and a PhD Supervisor, as well as specially appointed as a Professor of Chu Tian Scholars, specializing in research on industrial artificial intelligence technology. His research interests include artificial intelligence, machine learning algorithms, SLAM, and 3D machine vision. Dr Li was a primary recipient of the First Prize of Hubei Province Science and Technology Progress Award." ]
[ "Ge Xin is an Associate Professor at Beijing Jiaotong University, Beijing, China. He received the BEng and MEng degrees from Northwestern Polytechnical University, Xi'an, China, in 2010 and 2013, respectively, and a PhD degree from the University of Lyon, Lyon, France, in 2017. His research interests include signal processing, machine learning, intelligent fault diagnosis, and inverse problems. Dr Xin served as an Associate Editor for Smart and Resilient Transportation and an Editorial Board Member for Applied and Computational Mathematics, Journal of Reliability Science and Engineering, etc." ]
[ "Chenyang Ma is an Associate Professor at Xi'an University of Posts and Telecommunications. She conducted research as a jointly-trained doctoral student in the Department of Industrial Systems Engineering and Management at the National University of Singapore from 2022 to 2023, and obtained her Doctor of Management degree from Northwestern Polytechnical University in 2024. Her research focuses on equipment health monitoring, remaining useful life prediction, reliability modeling and optimization, among other areas. As the first author, she has published several papers in international journals in the field of reliability, such as RESS, ITR, and Measurement. She has frequently participated in international academic conferences and delivered presentations, receiving the ‘Best Paper Award’ at SRSE 2023. She currently serves as a Youth Editorial Board Member for the Journal of Reliability Science and Engineering." ]
[ "Ke Feng is a Full Professor at Xi'an Jiaotong University, China. He is a Marie Curie Fellow (Imperial College London & Brunel University London). He received a PhD degree from the University of New South Wales, Australia, in 2021. He worked at the University of British Columbia and the National University of Singapore in 2022 and 2023, respectively. His main research interests include digital twins, vibration analysis, structural health monitoring, dynamics, tribology, signal processing, and machine learning. He is recognized as the Emerging Leader (2023) by the Measurement Science and Technology journal. He is the Associate Editor, Area Editor, and Guest Editor of several journals, including IEEE Transactions on Industrial Informatics, Information Fusion, IEEE Internet of Things Journal, Mechanical Systems and Signal Processing, Journal of Reliability Science and Engineering, IEEE Transactions on Industrial Cyber-Physical Systems, Journal of Intelligent Manufacturing, Structural Health Monitoring, Engineering Applications of Artificial Intelligence, IEEE Transactions on Instrumentation and Measurement, Measurement, IEEE Sensors Journal, IET Collaborative Intelligent Manufacturing, Measurement Science and Technology, Advances in Manufacturing, Proc. Inst. Mech. Eng. B J. Eng. Manuf., Journal of Central South University, etc." ]
[ "Long Zhang is a Full Professor at the School of Mechatronics and Vehicle Engineering, East China Jiaotong University, China. He received a PhD degree from Shanghai Jiao Tong University in 2011. He completed his postdoctoral research at the School of Mechanical Engineering, Zhejiang University in 2019. His main research interests include dynamic modeling, engineering signal processing, artificial intelligence, and deep learning. He is an Editorial Board Member of the Journal of East China Jiaotong University. He also serves as a reviewer for several journals, including Mechanical Systems and Signal Processing, Journal of Mechanical Engineering Science, Engineering Applications of Artificial Intelligence, and Neural Processing Letters, etc." ]
[ "Chunsheng Yang is a Fellow of the Canadian Academy of Engineering (FCAE). The Director of the Institute of Artificial Intelligence of Guangzhou University and Principal Scientist with Jiadu Technology Group Inc. (Guangzhou China). He used to be a Principal Research Officer at the National Research Council Canada and a distinguished Professor with Nagoya Institute of Technology (Japan). Dr Yang is an Adjunct Professor with Carleton University (Canada), and other universities. He is interested in data science, machine learning, hybrid reasoning, intelligent systems, digital twins, and AI application to education. He received an Hons BSc in Electronic Engineering from Harbin Engineering University, China, an MSc in computer science from Shanghai Jiao Tong University, China, and a PhD from the National Hiroshima University, Japan. He worked with Fujitsu Inc., Japan, as a Senior Engineer and engaged in the development of intelligent traffic management for ATM backbone telecommunication networks. He was an Assistant Professor at Shanghai Jiao Tong University from 1986 to 1990, working on Hypercube Distributed Computer Systems. Yang has been the author of 200+ technical papers (book chapters) and reports published in the referred journals and conference proceedings. Dr Yang is a Program Co-Chair of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016) and a Program Co-Chair for the 17th International Conference on Industry and Engineering Applications of Artificial Intelligence and Expert Systems in 2004. He is also a guest editor for the International Journal of Applied Intelligence and the Journal of Clustering Computing. He serves as scientific advisor for several research institutions such as NSERC, the Irish Research Council, and over 100 Program committee members for international conferences." ]
Received:23 June 2025,
Revised:2025-08-12,
Accepted:04 September 2025,
Published Online:26 September 2025,
Published:2025
移动端阅览
Jichao Zhuang, Jiaxin Wu, Guobin Pei, et al. A neuro-fuzzy approach with hypergraph convolution for fault diagnosis in industrial devices[J]. Journal of Reliability Science and Engineering, 2025, 1: 035301.
Jichao Zhuang, Jiaxin Wu, Guobin Pei, et al. 超图卷积神经模糊方法在工业设备故障诊断中的应用[J]. 可靠性科学与工程学报(英文), 2025, 1: 035301.
Jichao Zhuang, Jiaxin Wu, Guobin Pei, et al. A neuro-fuzzy approach with hypergraph convolution for fault diagnosis in industrial devices[J]. Journal of Reliability Science and Engineering, 2025, 1: 035301. DOI: 10.1088/3050-2454/ae064d.
Jichao Zhuang, Jiaxin Wu, Guobin Pei, et al. 超图卷积神经模糊方法在工业设备故障诊断中的应用[J]. 可靠性科学与工程学报(英文), 2025, 1: 035301. DOI: 10.1088/3050-2454/ae064d.
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