Dynamics of Machine Elements

Machine elements form the foundation of mechanical systems, and their dynamic behavior directly influences operational efficiency, reliability, and structural integrity. Under practical working conditions, components such as gears, bearings, rotors, and shafts often exhibit pronounced nonlinear responses due to factors including variable contact conditions, friction, clearances, material nonlinearities, and degradation mechanisms. Accurate characterization of these effects is essential for understanding vibration behavior, dynamic stability, noise generation, and failure initiation.Advances in sensing technologies, high-fidelity modeling, and computational capabilities have expanded opportunities to investigate machine element dynamics in greater detail. In parallel, artificial intelligence–based diagnostic and prognostic methods are increasingly being integrated with physics-based models, enabling enhanced fault detection, condition monitoring, and life prediction.Machine elements form the foundation of mechanical systems, and their dynamic behavior directly influences operational efficiency, reliability, and structural integrity. Under practical working conditions, components such as gears, bearings, rotors, and shafts often exhibit pronounced nonlinear responses due to factors including variable contact conditions, friction, clearances, material nonlinearities, and degradation mechanisms. Accurate characterization of these effects is essential for understanding vibration behavior, dynamic stability, noise generation, and failure initiation.Advances in sensing technologies, high-fidelity modeling, and computational capabilities have expanded opportunities to investigate machine element dynamics in greater detail. In parallel, artificial intelligence–based diagnostic and prognostic methods are increasingly being integrated with physics-based models, enabling enhanced fault detection, condition monitoring, and life prediction.Machine elements form the foundation of mechanical systems, and their dynamic behavior directly influences operational efficiency, reliability, and structural integrity. Under practical working conditions, components such as gears, bearings, rotors, and shafts often exhibit pronounced nonlinear responses due to factors including variable contact conditions, friction, clearances, material nonlinearities, and degradation mechanisms. Accurate characterization of these effects is essential for understanding vibration behavior, dynamic stability, noise generation, and failure initiation.Advances in sensing technologies, high-fidelity modeling, and computational capabilities have expanded opportunities to investigate machine element dynamics in greater detail. In parallel, artificial intelligence based diagnostic and prognostic methods are increasingly being integrated with physics-based models, enabling enhanced fault detection, condition monitoring, and life prediction.This Special Issue brings together recent contributions on nonlinear dynamic analysis, experimental investigations, and AI-enabled diagnostic methodologies for machine elements, aiming to support the development of more reliable, efficient, and intelligent mechanical systems.Scope of the Special Issue (but not limited to):• Nonlinear vibration and dynamic response of machine elements• Chaos, bifurcation, and stability analysis of mechanical components• Dynamic modeling of gears, bearings, rotors, shafts, and linkages• Tribo-dynamics and time-varying contact dynamics• Fault modeling and nonlinear effects due to defects and wear• Signal processing techniques for machinery condition monitoring• AI-, machine learning-, and deep learning–based fault diagnosis• Intelligent prognostics and remaining useful life (RUL) prediction• Data-driven and hybrid physics–AI models for machine dynamics• Experimental investigations and validation of nonlinear dynamic models• Digital twins and smart diagnostics for rotating machinery Topic editors: Dr. Arvind Kumar Rajput, Dr Jeewan Chandra Atwal, Vivek Parmar, Saurabh Kumar Yadav Source: https://www.frontiersin.org/research-topics/78784/dynamics-of-machine-elements