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DTSTART;TZID=Australia/Melbourne:20260218T170000
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SUMMARY:Engineering system monitoring\, detection\, analysis and solutions
DESCRIPTION:Overview\nIn today’s high-stakes industrial environments\, unplanned downtime can be costly and disruptive. \nThis 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. \nThe 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. \nProgram timeline\nSession 1: Monitoring and Detection\nJordan Robb\, NVMS \n\nOverview of condition monitoring and its role in predictive maintenance\nWhy maintenance strategies matter and how CM improves asset uptime\nMeasurement techniques and common machine faults (imbalance\, misalignment\, bearing defects\, resonance)\nPractical applications across mining\, oil & gas\, utilities\, and manufacturing\nFuture directions in condition monitoring\n\nSession 2: Analysis and Solutions\nDr James Brett & Dr Nitheesh George\, Synergetics Consulting Engineers \n\nDigital twins for predictive\, diagnostic\, comparative\, and optimisation insights\nRecreating complex physics and extreme environments\nApplications in gas\, liquid\, and solid systems\, including internal/external flows\nChallenges of scale and integrating simulations with real-world measurements\nImportance of assumptions and validating operation using monitoring solutions\n\nPanel Discussion \n\nSamantha Murray\, Siemens Digital Services\nRay Beebe\, Machine Condition Monitoring Consultant\nJordan Robb\, NVMS\nDr James Brett\, Synergetics\nDr Nitheesh George\, Synergetics\n\nLearning outcomes\nIn this event\, you will: \n\ndevelop a strategic understanding of maintenance approaches. Explain the importance of selecting appropriate maintenance strategies to optimise uptime\, reliability\, and asset performance.\napply 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.\nunderstand 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.\n\nFor more information visit\nEngineering system monitoring\, detection\, analysis and solutions | Engineers Australia \n 
URL:https://www.rtsa.com.au/events/engineering-system-monitoring-detection-analysis-and-solutions/
LOCATION:Engineers Australia Melbourne\, Level 26/ 181 William Street\, Melbourne\, Victoria\, 3000\, Australia
CATEGORIES:Victoria and Tasmania Events
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