Vibration Mitigation and Finite Element Model Calibration in Coal Preparation Plants Using Bayesian Model Updating

This study investigates the machine-structure interaction within a coal preparation plant that contains various machinery such as vibration screens and centrifuges. These machines are organized into modules capable of operating either independently or simultaneously. PCB accelerometers were utilized to record machinery excitation, and Tromino portable accelerometers were used to capture the structural response. To assess the dynamic properties and identify areas in resonance with machinery excitation, system identification techniques were used. Bayesian model updating techniques are utilized not just for calibrating the model but also for incorporating uncertainty quantification, thereby enhancing its reliability. The findings underline the effectiveness of integrating vibration surveys and model updating to effectively address machine-structure interaction issues in the mining sector.