Overview

In today’s high-stakes industrial environments, unplanned downtime can be costly and disruptive.

This session explores the transformative power of Condition Monitoring (CM) and Predictive Maintenance strategies in engineering systems. From foundational principles to advanced digital twin technologies, participants will gain insights into how modern monitoring techniques can detect faults early, optimise performance, and extend asset life. We’ll dive into common machine faults, such as imbalance, misalignment, bearing defects, and resonance, and explore how these are detected and addressed across industries like mining, oil & gas, utilities, and manufacturing.

The session also looks ahead to the future of monitoring, including simulation-driven diagnostics, real-world system modelling, and the integration of digital twins to recreate complex physics and extreme environments. Whether you’re an engineer, asset manager, or technology leader, this event will equip you with the knowledge to make smarter, data-driven decisions about your assets.

Program timeline

Session 1: Monitoring and Detection
Jordan Robb, NVMS

• Overview of condition monitoring and its role in predictive maintenance
• Why maintenance strategies matter and how CM improves asset uptime
• Measurement techniques and common machine faults (imbalance, misalignment, bearing defects, resonance)
• Practical applications across mining, oil & gas, utilities, and manufacturing
• Future directions in condition monitoring

Session 2: Analysis and Solutions
Dr James Brett & Dr Nitheesh George, Synergetics Consulting Engineers

• Digital twins for predictive, diagnostic, comparative, and optimisation insights
• Recreating complex physics and extreme environments
• Applications in gas, liquid, and solid systems, including internal/external flows
• Challenges of scale and integrating simulations with real-world measurements
• Importance of assumptions and validating operation using monitoring solutions

Panel Discussion

• Samantha Murray, Siemens Digital Services
• Ray Beebe, Machine Condition Monitoring Consultant
• Jordan Robb, NVMS
• Dr James Brett, Synergetics
• Dr Nitheesh George, Synergetics

Learning outcomes

In this event, you will:

1. develop a strategic understanding of maintenance approaches. Explain the importance of selecting appropriate maintenance strategies to optimise uptime, reliability, and asset performance.
2. apply condition monitoring and diagnostic techniques. Analyse system health using sensor data, fault detection methods, and predictive tools, including digital twins and physics-based models, to anticipate and address equipment issues.
3. understand of integration of data and modelling for informed decision-making. Evaluate how simulation, real-world data, and model assumptions influence accuracy, scalability, and effectiveness across industries such as mining, oil & gas, utilities, and manufacturing.

For more information visit

Engineering system monitoring, detection, analysis and solutions | Engineers Australia