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Analysis and Application of Mechanical System Vibrations

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: 30 May 2026 | Viewed by 829

Special Issue Editor


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Guest Editor
Institute of Transport, Poznan University of Technology, 60-965 Poznan, Poland
Interests: machine diagnostics; combustion engines; aviation; jet engines; railway transport; signal analysis; noise and vibrations
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Special Issue Information

Dear Colleagues,

Vibrations in mechanical systems constitute a fundamental aspect of machine dynamics, finding wide application in design, production, and maintenance. Vibrations occur when a system oscillates under the influence of unbalanced external or internal forces, and their analysis enables the prediction of system behavior, improvement of its performance, and prevention of failures. Mathematical models, such as differential equations and modal analysis, are used to describe vibrations, as well as computational methods like finite element analysis. Artificial intelligence-based methods are increasingly being used to describe vibrations. Based on measurements of parameters describing vibration signals, technical condition can be assessed because: they are easy to measure under normal operating conditions; vibration processes are characterized by high information transfer rates; vibrations enable the assessment of the condition of the entire object, as well as its individual components and assemblies; and vibration processes are characterized by a high information content in the signal. The applications of vibration analysis are extensive. For example, in aviation, vibration control ensures structural integrity under variable flight conditions and provides engine diagnostics. In industry, vibration monitoring is used to detect damage in machinery, enabling predictive maintenance. Another aspect of vibration analysis is selecting vibration isolators to protect sensitive equipment. 

Dr. Grzegorz Szymański
Guest Editor

Manuscript Submission Information

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Keywords

  • vibration
  • vibration measurements and analysis
  • modal analysis
  • vibration-based machine diagnostics
  • machine learning

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Published Papers (1 paper)

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Review

40 pages, 4477 KB  
Review
Vibroacoustic Methods for Wheel-Flat Detection: Toward Safer and More Energy-Efficient Rail Transport—A Review
by Daniel Mokrzan, Tomasz Nowakowski and Grzegorz M. Szymański
Appl. Sci. 2026, 16(4), 2017; https://doi.org/10.3390/app16042017 - 18 Feb 2026
Viewed by 488
Abstract
Flat spots on railway wheels critically threaten operational safety, accelerating track damage, noise pollution, and energy waste. Their repetitive, high-magnitude impacts dissipate mechanical energy as ground vibration and noise, directly reducing traction efficiency. This paper presents a comprehensive review of recent vibration and [...] Read more.
Flat spots on railway wheels critically threaten operational safety, accelerating track damage, noise pollution, and energy waste. Their repetitive, high-magnitude impacts dissipate mechanical energy as ground vibration and noise, directly reducing traction efficiency. This paper presents a comprehensive review of recent vibration and acoustic detection methods, comparing onboard and stationary wayside systems. The literature from 2019 to 2025 shows a trend toward machine learning and deep learning, often reaching nearly 100% accuracy in laboratory or simulated settings. However, most studies lack real-world validation with naturally occurring defects. Bridging this gap requires industry–academic collaboration for operational data and testing. Crucially, systems must classify defect severity in line with maintenance thresholds rather than focus on minor, non-actionable faults. Integrating these technologies into condition-based maintenance and predictive digital twins will enable optimization of scheduling and work orders. Future efforts should leverage edge computing for real-time analysis, federated learning for data scarcity, and energy harvesting for sensor autonomy. The goal is to develop field-validated, integrated systems that enhance safety, reduce energy loss, and improve reliability. Full article
(This article belongs to the Special Issue Analysis and Application of Mechanical System Vibrations)
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