2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) · 2022 · 10 citations · 7 references
EngineeringMechanical EngineeringMechatronics EngineeringInstrumentationMaintenance EngineeringVibrationCondition MonitoringEngine VibrationFault DetectionPredictive MaintenanceVibration MeasurementVibration MonitoringContinuous Health MonitoringContinuous MonitoringEarly Fault DetectionEquipment Condition MonitoringHealth MonitoringReal-time MonitoringVibration DetectionVibration-based Monitoring
Most industrial system failures are caused by engine failure that can be very serious and cause significant downtime. Therefore, continuous health monitoring, accurate fault detection and early warning of engine failures are essential and cost-effective. Identifying motor failures requires sophisticated signal processing techniques to detect and isolate faults quickly. One of the oldest and most informative methods for analyzing the technical condition of equipment is vibration monitoring. For predictive motor maintenance, this method is used. In this project, we will monitor a real-time graph of engine vibration and analyze it with the aim of identifying faults such as wear errors. To this end, we have assembled the hardware and software used to measure motor vibration. In it, we used an Arduino equipped with an accelerometer as the vibration sensor. The data from the Arduino is then used on MATLAB for real-time monitoring.
7