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
Special Issue Editor
Interests: machine diagnostics; combustion engines; aviation; jet engines; railway transport; signal analysis; noise and vibrations
Special Issues, Collections and Topics in MDPI journals
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
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Keywords
- vibration
- vibration measurements and analysis
- modal analysis
- vibration-based machine diagnostics
- machine learning
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