RE0017 : Reliability-Centered Maintenance (RCM) Introduction & Predictive Maintenance Awareness

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

 his course is designed to provide participants with a detailed and up-to-date overview of Reliability-Centered Maintenance (RCM) Introduction & Predictive Maintenance Awareness. It covers the reliabilitycentered maintenance (RCM), maintenance strategies and principles of reliability and maintainability; the RCM framework and process flow and standards, guidelines and industry practices; the failure mode and effects analysis (FMEA) and failure modes, effects and criticality analysis (FMECA); the failure data collection and analysis; and the criticality analysis, asset prioritization and RCM logic and decision process. 

 Further, the course will also discuss the RCM-based maintenance program; integrating RCM with preventive maintenance (PM) programs and RCM implementation methodology; the reliability and maintenance optimization tools and key performance indicators (KPIs) for RCM; the predictive maintenance (PdM) and condition monitoring techniques; the electrical and process condition monitoring, data acquisition and sensors; and the IoT in predictive maintenance and predictive analytics and machine learning. 

 During this interactive course, participants will learn the integration of RCM and PdM in asset management systems; the RCM program governance and sustainability; the continuous improvement in RCM/PdM programs; the cost-benefit analysis of RCM implementation, ROI and payback period calculations and budget allocation and lifecycle cost modelling; the digital transformation and future trends; the smart maintenance systems and industry 4.0, role of AI, AR/VR and digital twins; and the cloud-based reliability dashboards and future direction of autonomous maintenance systems.