TEPEN2024-IWFDP: International Workshop on Fault Diagnostics and Prognostics
📝 Admin 
May 11, 2024 
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Qingdao, China, May 8th-11th, 2024: Dr. Peng Chen chaired a session on “Artificial Intelligence and Machine Learning” at the international conference in Qingdao. He presented research on “Semi-Supervised Gearbox Diagnostics via Few-Shot Learning with DGAT Algorithm, ” as well as on remote intelligent diagnosis.
Journal Paper: Self-supervised transfer learning for remote wear evaluation in machine tool elements with imaging transmission attenuation
📝 Admin Mar. 26, 2024 Comments
We are pleased to announce the publication of our paper “Self-supervised transfer learning for remote wear evaluation in machine tool elements with imaging transmission attenuation“(DOI: 10.1109/JIOT.2024.3382878) in IEEE Internet of Things Journal (IF (2023) = 10.6, Top Journal). This research proposes a self-supervised transfer learning model integrated with image capture technology, revolutionizing remote wear evaluation for CNC machines by eliminating the reliance on extensive historical data and ensuring reliability despite compromised data transmission environments.
Journal Paper: Markov Modeling of Signal Condition Transitions for Bearing Diagnostics under External Interference Conditions
📝 Admin Feb. 15, 2024 Comments
We are delighted to announce the publication of our paper “Markov Modeling of Signal Condition Transitions for Bearing Diagnostics under External Interference Conditions“(DOI: 10.1109/TIM.2024.3383497) in IEEE Transactions on Instrumentation and Measurement (IF (2023) = 5.6, Top Journal). This innovative method enhances rolling bearing fault diagnosis by mitigating transient noise interference, improving demodulation band selection accuracy. The study’s results validate its effectiveness in identifying fault-characteristic bands, showcasing the quality of research from our lab.
New Researchers Join Our Team for Autumn 2023
Admin Oct. 27, 2023 Comments
The Autumn 2023 semester brings a wave of fresh talent to our research group, enhancing our capabilities and expanding our horizons. Our new researchers, experts in a variety of fields, are set to invigorate our projects and foster interdisciplinary collaboration. As we embark on this exciting journey with our new team members, we anticipate a season of exploration, discovery, and academic achievement. We invite you to stay tuned for updates on our research group’s activities as we continue to push the boundaries of knowledge.
Congratulations to Outstanding Students on Masters Scholarships for the 2022-2023 academic year!
Admin Oct. 19, 2023 Comments
In a remarkable achievement, three outstanding students, Mr. Chaojun Xu, Mr. Jia Gao, and Mr. Ruijin Zhang, have secured the prestigious First-Class Master’s Scholarships for the 2022-2023 academic year. Additionally, Mr. Zhigang Ma, Mr. Junxiao Ma, and Mr. Yuhao Wu have been awarded Second-Class Master’s Scholarships, demonstrating their exceptional dedication to academic excellence. Congratulations to these scholars on their well-deserved honors!
Dr. Peng Chen Fosters Collaborative Discussions at Cambridge University’s Department of Engineering
Admin June 17, 2023 Comments
Dr. Peng Chen was recently invited to visit Cambridge University’s Department of Engineering. Throughout his visit, Dr. Chen actively participated in productive exchanges with the highly regarded faculty members and passionate Ph.D. candidates, fostering the exchange of ideas and expertise. This visit provided an invaluable platform for collaborative discussions, setting the stage for possible future initiatives to advance the field. Dr. Chen conveyed his appreciation for the chance to glean knowledge from the accomplished individuals at Cambridge University and eagerly anticipates continued collaboration opportunities.
Seminar on Innovation and Application of Heavy Duty Mobile Robots
📝 Admin May 30, 2023 Comments
Dr. Peng Chen, accompanied by Mr. Chaojun Xu and Mr. Zhigang Ma, attended the Seminar on Innovation and Application of Heavy Duty Mobile Robots at the Foshan Institute of Intelligent Equipment Technology. This seminar, which took place on May 30, 2023, served as a platform for industry leaders, researchers, and enthusiasts to delve into the latest advancements in heavy-duty robotics and their practical applications. Participants had the opportunity to engage in idea exchange, networking, and gain valuable insights into the potential of heavy-duty robots.
Journal Paper: A Mixed Samples-driven Methodology based on Denoising Diffusion Probabilistic Model for Identifying Damage in Carbon Fiber Composite Structures
📝 Admin Apr. 16, 2023 Comments
We are thrilled to announce that our research lab has recently published a journal paper titled “A Mixed Samples-driven Methodology based on Denoising Diffusion Probabilistic Model for Identifying Damage in Carbon Fiber Composite Structures” (doi: 10.1109/TIM.2023.3267522) in the prestigious IEEE Transactions on Instrumentation and Measurement (IF (2022) = 5.33).
We would like to extend our heartfelt congratulations to the entire team of researchers involved in this project, whose dedication and hard work have made this achievement possible. This publication is a testament to the outstanding quality of research being conducted in our lab and will undoubtedly contribute to the advancement of the specific field. This achievement is a testament to the exceptional research being conducted in our lab, and we look forward to further contributions to the field.
New Researchers Join Our Lab to Drive Innovation
📝Admin Apr. 06, 2023 Comments
We are pleased to announce the newest members of our research lab. Mr. Junxiao MA, Mr. Ruijin ZHANG, Mr. Jia GAO, and Mr. Yuhao WU have recently joined our team, bringing with them fresh perspectives and valuable skills.
We believe that the addition of these four individuals will further enhance our capabilities and enable us to achieve even greater success in our ongoing research projects. Please join us in welcoming Mr. Junxiao MA, Mr. Ruijin ZHANG, Mr. Jia GAO, and Mr. Yuhao WU to our research lab. We are excited to have them on board and look forward to working with them to advance our research goals.