Welcome to VEOTMAC 2026!
Plenary Speaker I
Prof. N.S. Vyas
Indian Institute of Technology Kanpur
India
Title: Nonlinear Vibration Diagnostics: Volterra and Wiener Series to Digital Twins
Abstract:
Rotating and rolling machinery — turbine blades, rotor-bearing systems, and rail vehicle bogies alike — routinely violate the small-perturbation assumption underlying classical linear modal analysis. Bearing clearances, contact nonlinearities, and large-amplitude transient operation render the frequency response amplitude-dependent, while identification must frequently proceed from ambient random response rather than controlled excitation. This talk traces a body of work addressing this class of problems, beginning with deterministic models of turbine blade dynamics under transient angular acceleration and speed changes, and progressing to a sustained programme of nonlinear system identification built on Volterra and Wiener series representations. Higher-order kernels, extracted through multi-tone harmonic probing and recursive estimation procedures, are shown to recover not only linear parameters but the specific class of nonlinearity — clearance, cubic stiffness, or asymmetric damping — directly from measured response, with convergence criteria established for the truncated series. The talk then follows the natural extension of these ideas: from parameter estimation to fault diagnosis, as kernels and wavelet-derived features became inputs to early neural-network-based condition monitoring systems, and subsequently to the deep convolutional architectures now used for multi-label fault classification from raw, unprocessed multi-sensor data. The concluding section argues that today's "physics-informed" digital twins — which fuse a reduced physics backbone with a data-driven residual layer for continuous state estimation — are, in an important sense, re-solving the interpretability problem that Volterra and Wiener kernels solved analytically three decades earlier. This continuity is illustrated through two live application threads: physics-aware digital twins for aero-engine health management, and multibody-dynamics-coupled digital twins for rail bogie and coupler fault diagnosis. The talk closes with open problems in cross-domain kernel transfer, uncertainty quantification in hybrid twins, and real-time deployment at sensor rate — an agenda directly relevant to VETOMAC's emerging focus on AI-driven prognostics and model-test integration.
Biography:
Nalinaksh S. Vyas is Professor Emeritus in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur, where he served on the faculty from 1987 to 2024 and headed the department from 2008 to 2011. He holds a Ph.D. from IIT Delhi (1986) and has held visiting positions at various universities outside India. From 2015 to 2022 he served as Chairman of the Technology Mission for Indian Railways, Ministry of Railways, leading the introduction of Industry 4.0 protocols in rail-coach manufacturing, and has been lately advising Aeronautical Agencies on digital-twin initiatives for aircraft systems. His research spans nonlinear system identification, rotor and rail vehicle dynamics, MEMS and smart structures, and condition monitoring, including foundational work on Volterra and Wiener series methods for nonlinear parameter estimation in rotor-bearing systems. He coordinated the design, development, and 2012 launch of JUGNU, India's first nanosatellite, with ISRO, and was recognized by India Today (2010) as one of 20 innovators changing India's technological landscape. He has authored over 150 journal and conference publications, supervised 112 doctoral and master's theses, and serves as editor of the Journal of Rail and Rapid Transit and the Journal of Vibration Engineering and Technologies.
Plenary Speaker II
Prof. Marco Amabili
Westlake University
China
Plenary Speaker III
Prof. Shunming Li
Nanjing University of Aeronautics and Astronautics
China
Title: Development and Application of Internet of Vehicles Technology in China
Abstract:
Based on the development of artificial intelligence, China's Internet of Vehicles (IoV) and application technologies have taken a leading position in the world. It is highly necessary to share these achievements with international peers, as well as to provide a reference for the technological development of IoV in countries around the world. The basic concepts and technical framework of IoV technology is first introduced in this paper. The development of AI technology and its relationship with IoV, and typical application scenarios and key values of IoV technology is then introduced. The six core trends in the development and evolution of IoV technology, the key milestones for development in 2026, as well as the challenges it faces and corresponding countermeasures is then presented. The successful application of IoV technology in China is provided in fourth part. The impact of the development of IoV technology on the automotive industry and its services, and on future transportation and society is finally discussed.
Biography:
Li Shunming, Ph.D., Professor at Nanjing University of Aeronautics and Astronautics. His main research directions are vibration and noise analysis and control, modern signal processing theory and applications, intelligent health monitoring and fault diagnosis, vehicle intelligence, and modern design technology. He has led and completed over 80 projects, including National Major Projects, National Key Research and Development Programs, and the National Natural Science Foundation. He has won 9 awards for scientific and technological progress, including the Chinese Ministry of Education Award. He has published over 300 academic papers indexed by SCI/EI and holds nearly 40 invention patents and software copyrights.
The list of plenary speakers is continuously being updated.
© 21st VETOMAC 2026 | All rights reserved.