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 Advanced Reliability Engineering. It covers the foundations and key principles of reliability, failure mechanisms and root cause, reliability modeling and probability theory and Weibull analysis and data interpretation; the system reliability modeling and discuss reliability-centered maintenance (RCM), failure modes, effects and criticality analysis (FMECA), fault tree analysis (FTA) and Monte Carlo simulation in reliability; and the reliability growth modeling, availability analysis, lifecycle cost (LCC) and reliability trade-offs, risk-based maintenance (RBM) and condition-based maintenance (CBM) and predictive models. 

 

During this interactive course, participants will learn the reliability-centered spares management, maintenance optimization techniques, RAM analysis and simulation and human reliability and error modeling; the root cause failure analysis (RCFA) frameworks, big data and reliability analytics, machine learning in reliability prediction, prognostics and health management (PHM) and integration with ISO standards; and the design for reliability (DfR), reliability strategy implementation, benchmarking reliability performance and sustainability and reliability. 
KARL