COURSE OVERVIEW

This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators. 

 

This course is designed to provide participants with a detailed and up-to-date overview of Condition Monitoring and Predictive Maintenance. It covers the reactive, preventive and predictive maintenance and the benefits and limitations of each strategy; the basics of condition monitoring (CM), asset criticality and risk-based maintenance; the condition monitoring technologies, basics of failure mechanisms, data acquisition and monitoring system architecture and the principles of vibration analysis; and the vibration monitoring techniques, vibration data interpretation and condition-based maintenance (CBM) planning; and the infrared thermography principles, applications of thermography in refineries and lubrication and oil analysis. 

 

During this interactive course, participants will learn the tribology and wear mechanism analysis, ultrasonic testing techniques and integrating multiple techniques; the predictive maintenance tools and platforms, reliability-centered maintenance (RCM) and root cause failure analysis (RCFA); the failure prediction techniques, condition monitoring dashboards and KPIs; the digital twins and smart maintenance systems, condition monitoring program and troubleshooting common issues; the CM and PdM in turnaround and shutdown planning; the bad actors for maintenance and asset health audits before startup; the risk-based inspection during turnaround and internal audits for CM programs; and the KPI monitoring, feedback loops and annual review of PdM strategies.