Nonlinear Dynamics, Vibration Monitoring and Fault Diagnostics in Rotating Systems

Dear Colleagues,

Rotating machinery, such as turbines, compressors, and generators, is integral to industries like aerospace, energy, and manufacturing. These systems operate under demanding conditions, often exhibiting complex nonlinear characteristics, including resonances, multi-mode vibrations, bifurcation, and chaos. As the safety, reliability, and efficiency requirements increase in rotating systems, advancing theoretical understanding and developing innovative monitoring and fault diagnostic techniques are pivotal to optimizing working performance, minimizing downtime, and extending equipment life.

Recent developments in computational methods, sensor technologies, and machine learning have significantly expanded the possibilities for innovation in this field, including the application of multi-physics and multi-scale simulations to capture intricate nonlinear phenomena, the integration of real-time monitoring systems for predictive maintenance, and the utilization of artificial intelligence to predict faults with higher accuracy. The Special Issue aims to invite contributions that push the boundaries of these advancements, explore novel simulation or experimental methodologies, and provide transformative insights into the dynamics and diagnostics of rotating systems.

Topics of interest include, but are not limited to, the following:

• Novel modeling, solving, and experimental methods for rotating systems;
• Nonlinear phenomenon analysis of complex rotating systems with high dimensions or multiple nonlinearities;
• Mechanism of nonlinear dynamics under multiple physical fields;
• Rapid monitoring and evaluation of key components;
• Advanced vibration monitoring methods and experimental verification;
• Advanced fault diagnosis methods and experimental verification;
• Nonlinear vibration control.

Dr. Lei Hou
Dr. Nasser A. Saeed
Dr. Shun Zhong
Guest Editors

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