Introduction to Reliability Engineering - Online

Improve asset availability, reduce unplanned downtime, and maximise production throughput. This Reliability Engineering course gives engineers and operational leaders the tools to analyse failures, predict equipment life, and optimise maintenance strategies using real performance data. Strengthen safety, efficiency, and profitability through proven reliability methods.

Build products, systems, and processes that perform — every time. This practical, industry-focused Reliability Engineering course equips engineers, analysts, and operational leaders with the tools, data skills, and mindset needed to predict failures, improve durability, and drive customer-focused performance. Learn proven reliability methods, apply real data, and confidently transform reliability into measurable business value.

This course provides a hands-on introduction to reliability engineering, focusing on understanding failure behaviour, calculating key reliability metrics, and applying statistical analysis to real operational data. Delegates will explore probability distributions, reliability modelling, accelerated life testing, and system reliability — supported by practical exercises using MINITAB or our own software if you prefer.

By the end of the course, participants will be able to quantify reliability, predict performance, diagnose failure modes, and make informed design, maintenance, and investment decisions that enhance quality, safety, and customer satisfaction.

Who should attend?

Mining and mineral processing engineers, Reliability and maintenance engineers, Asset management and condition monitoring specialists, Fixed and mobile plant maintenance teams, Operations, production, and processing managers, Maintenance planners, shutdown coordinators, and supervisors, Data analysts supporting equipment performance and downtime reporting, OEM and supplier engineers servicing mining equipment, Engineering graduates seeking capability in reliability and asset life analysis

What will you learn?

Understand the fundamentals of reliability engineering, define and interpret key reliability metrics — MTBF, MTTF, failure rate, availability & survivability. Analyse real equipment failure data to identify patterns and improvement opportunitie. Use MINITAB or our own software to perform life data analysis, probability plotting, and reliability modelling. Apply Weibull, normal, log-normal, and exponential distributions to equipment performance. Recognise and evaluate common failure modes — wear, fatigue,, overload, corrosion. Build reliability predictions to support production, maintenance, and investment planning. Understand the bathtub curve and how it relates to commissioning, steady operation & wear-out . Support proactive maintenance strategies, condition-based monitoring, and shutdown planning. Use reliability analysis to reduce downtime, maintenance cost, safety risk, and operational uncertainty. Communicate reliability findings clearly to engineers, supervisors, managers, and OEMs.