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Dynamics and vibration analysis of agricultural machinery systems: recent advances and future perspectives

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Abstract

This review systematically examines advances in dynamics and vibration analysis of agricultural machinery systems, aiming to optimize their modern design theoretical frameworks and markedly enhance operational efficacy and holistic machine reliability. Distinctively, this paper synthesizes recent interdisciplinary modeling and experimental techniques, and for the first time, provides a comparative evaluation of their applicability, precision, and integration potential in addressing complex real-world operational scenarios. Novel approaches for multi-physics-coupling analysis and validation are discussed, introducing innovative prospects for model-based intelligent optimization. It elucidates three principal research thrusts: machine–soil interactions, vehicle-ground mechanics, and the dynamic characteristics of powertrain systems. The paper investigates prevalent modeling methodologies, including analytical methods, numerical simulations, and multibody dynamics, alongside experimental validation techniques such as field tests, bench experiments, and virtual prototyping. The synergistic advantage of integrating these methods to ensure model fidelity is emphasized. Furthermore, advanced dynamic optimization strategies are explored, encompassing vibration and noise mitigation, intelligent fault diagnosis, and predictive maintenance, which are vital for prolonging service life and ensuring operational safety. A major contribution of this review is the prospective roadmap it outlines for the coupling of agricultural machinery dynamics with frontier technologies such as intelligent control, remote teleoperation, and machine vision, thereby identifying key scientific challenges and opportunities for precision agriculture. These advancements will provide critical theoretical and technological foundations for agricultural modernization.

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Acknowledgements

This work was supported by Science Challenge Project (No. JDZZ2016006-0102) and the National Natural Science Foundation of China (Grant No. 52105101).

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Authors and Affiliations

  1. School of Mechanical Engineering, Jiangsu University, Zhenjiang, 212013, China

    Ziheng Jiang, Yu Chang, Rui Lei, Wan Sun, Xinghao Hu & Guanggui Cheng

  2. Key Laboratory of Intelligent Flexible Actuation and Control in Universities of Jiangsu Province, School of Mechanical Engineering, Jiangsu University, Zhenjiang, 212013, China

    Ziheng Jiang, Yu Chang, Rui Lei, Wan Sun, Xinghao Hu & Guanggui Cheng

  3. Automotive Engineering Centre, University of Engineering and Technology, Lahore, Pakistan

    Adeel Shehzad

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  7. Guanggui Cheng
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Jiang, Z., Chang, Y., Shehzad, A. et al. Dynamics and vibration analysis of agricultural machinery systems: recent advances and future perspectives. J Braz. Soc. Mech. Sci. Eng. 48, 67 (2026). https://doi.org/10.1007/s40430-025-06024-8

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