Prof. Dejie Yu
Hunan University, China
Title: Research on weak fault signal detection method based on gradient acoustic metamaterials
Abstract: Weak fault characteristic signal detection is the research frontier of equipment condition monitoring and fault diagnosis at home and abroad. Acoustic metamaterial is a kind of artificial composite material with extraordinary physical properties, which can realize flexible control of acoustic and acoustic energy. Aiming at the problem that weak signal is difficult to detect, an enhanced detection method based on gradient index acoustic metamaterial is proposed. This method uses the strong compression effect of sound wave propagating in the gradient gradient refractive index acoustic medium to realize the compression enhancement of sound pressure amplitude. The numerical and experimental results show that the gradient index acoustic metamaterials can improve the local signal-to-noise ratio of weak harmonic signals by about 8 ~ 9dB and that of weak periodic impulse signals by at least 7dB. A fault signal enhancement detection method based on gradient index acoustic metamaterial was proposed. Compared with the traditional spectral kurtosis method, the proposed method can detect bearing fault signals with lower signal-to-noise ratio, and has a wide range of engineering application values.
Experience: Dejie Yu, born in May 1957 in Changde of Hunan Province, is the current Assistant to the President of Hunan University, Deputy Director of the Hunan University Development Planning Office, Director of "211 Project" & "985 Project" Office of Hunan University, Member of the Standing Committee of the Hunan Provincial CPPCC, Professor in the College of Mechanical & Vehicle Engineering of Hunan University, and Doctoral Supervisor. He has published more than 200 papers in total. SCI-E has cited 20 representative SCI papers for a total of 1569 times, 1489 times, the highest single paper cited by him 238 times, the average report cited by him 103.4 times; The total impact factor was 63.289, and the average impact factor per paper was 3.164. IEEE Transactions on Industrial Electronics (IF= 7.168), Mechanical Systems and Signal Processing (IF= 7.168) and IEEE Transactions on Industrial Electronics (if = 7.168) 4.116), Journal of Sound and Vibration (IF= 2.539), etc.
Prof. Quanqing Yu
Harbin Institute of Technology, China
Experience: Quanqing Yu (S’15) received an M.Sc. degree in mechanics from the Beijing Institute of Technology, Beijing, China, in 2012, where he is currently pursuing a Ph.D. degree in mechanical engineering. He conducted scientific research as a Visiting Student with the Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI, USA, from 2016 to 2017. Then, as a Visiting Student, he studied at the Center for Advanced Life Cycle Engineering, the University of Maryland at College Park, College Park, MD, USA, from 2017 to 2018. He has published more than ten peer-reviewed journal papers, and four papers are Highly Cited Papers, since 2017. His current research interests include battery state estimation, reliability, and fault diagnosis and prognosis. Dr. Yu was a recipient of the 2017 Best Paper Award from the International Conference on Energy, Ecology, and Environment, Stockholm, Sweden.
Assoc Prof. Mohammed Rehaan Chandan
Vellore Insitute of Technology, India
Experience: Mohammed R Chandan is working as an Associate Professor in the School of Chemical Engineering, Vellore Institute of Technology, India. He received a Ph.D. from the Indian Institute of Technology, Kharagpur in 2015. His area of research includes the development of polymeric foams and polymer nanocomposites for smart materials and high-voltage insulation applications. In addition, he also explores the different nanostructures-based nanofluids for heat transfer applications. He has more than 30 articles in peer-reviewed journals such as Langmuir, Soft Matter, Journal of Applied Polymer Science, Polymer Degradation and Stability, etc. He has developed formulations for bio-based foams, foam nanocomposites for medical cushioning, and polymer composites for high-voltage insulation which has been under patenting process. He has organized International Virtual Conference on "Advances in Colloidal and Polymeric Systems ACAPS-2020 on 22nd August 2022. He has delivered an invited lecture at International Online Conference on Foamed Polymers (ICFP – 2022) organized by Mahatma Gandhi University, Kottayam, Kerala, India, July 08 – 10, 2022.
Assoc Prof. Guanglei Wu
School of Mechanical Engineering, Dalian University of Technology, China
Experience: Dr. Guanglei Wu received his Ph.D. in robotics from Aalborg University, Denmark, in 2013, and worked as an industrial Postdoc fellow at Aalborg University from 2014 to 2016. He was a visiting scholar at the Research Institute in Communications and Cybernetics of Nantes (IRCCyN, currently reorganized as Laboratory of Digital Sciences of Nantes-LS2N) in June-July 2012, at McGill University in Aug. 2015, and in Aarhus University in 2020. Currently, he is a professor in the School of Mechanical Engineering, at Dalian University of Technology (DUT). His research interests include robotic technology, conceptual design and performance evaluation of robots, robot dynamics and control, and industrial robots, and their applications. He has published one monography by Springer, 9 Chinese patents, and over 80 peer-reviewed articles in international journals and conferences. He was the awardee of AIS Expert of the Year 2021, DUT Xinhai 1000 Youth Talent program (2018-2020), the Best paper award from IFToMM Asian MMS & CCMMS 2016, Academic Awards from Dept. Sci. Tech. Liaoning province, Longcheng Talent program by Changzhou Municipality. He has given over 10 keynote speeches for international conferences. He is the referee for over 50 international journals and conferences in the fields of mechanisms and robots.
2023 6th International Conference on Mechanical, Electrical and Material Application (MEMA 2023) http://ic-mema.org/