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 Understanding & Preventing Process Equipment Failures through Testing, Analysis & Inspection. It covers the different types of equipment failure and the concept and application of FMEA in identifying potential failure points; the role of risk and reliability in the context of equipment failure; the direct and indirect costs associated with equipment failure; the equipment testing techniques, root cause analysis and material science and metallurgy in equipment failure; the thermographic inspection and analysis and failure analysis using statistical methods; and the most common equipment testing techniques. 

 

Further, the course will also discuss the maintenance strategies, reactive, preventive and predictive maintenance; the preventive maintenance principles and best practices, predictive maintenance and condition monitoring; the robust maintenance plan and the role of equipment operators in failure prevention; the preventive maintenance plan for a hypothetical piece of equipment; and how IoT technology can aid in equipment monitoring and failure prevention. 

 

During this interactive course, participants will learn the role of AI and machine learning in predicting equipment failures and planning maintenance; the digital twin technology for failure prediction and prevention; the wearables and mobile devices for equipment monitoring and integrating new technologies into existing systems; creating a culture of preventive maintenance and training and skill development for failure prevention; and the key performance indicators for equipment maintenance by setting the right metrics to measure the effectiveness of maintenance strategies.