Vibration-Based Fault Identification in Compaction Equipment Using Feature Extraction Techniques

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.