Vibration-Based Fault Identification in Compaction Equipment Using Feature Extraction Techniques
Source abstract
Abstract
This paper focuses on the use of vibration analysis to monitor the technical condition of compaction equipment (such as vibratory plates), with the aim of identifying defects before they cause unplanned shutdowns. The author proposes methods and computational analysis techniques to pinpoint the sources of operational disturbances based on vibration signals collected for analysis (on an experimental stand) and simulation results. Thus, the dynamic behavior of a compactor is analyzed in relation to changes in the angular speed of the vibrator shaft, the wear of the bearings, and the impacts generated by the response of the terrain (soft, medium, or hard) to equipment action. The detailed analysis of these factors transforms raw vibration data into actionable information, essential for the modern, intelligent operation and maintenance of construction machinery.
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Research context
OpenAlex topics: Mechanical Engineering Research and Applications · Machine Fault Diagnosis Techniques · Modeling, Simulation, and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Research Center for Mechanics of Machines and Technological Equipment, Engineering and Agronomy Faculty in Braila, “Dunarea de Jos” University of Galati, 810017 Braila, Romania
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