Easy Insights in Failures, Causes and Expected Consequences | UReason Webinar скачать в хорошем качестве

Easy Insights in Failures, Causes and Expected Consequences | UReason Webinar

Discover how cause-consequence modelling can give you a deeper understanding of failure patterns, root causes, and potential consequences—before they impact your operations. This webinar shows how this approach supports smarter, data-driven maintenance strategies that reduce costs and improve reliability. What You’ll Learn: What cause-consequence modelling is and how it supports predictive maintenance The importance of identifying pending failures and linking causes to their consequences How to visualize and communicate model outputs to different users A step-by-step example to get you started in your own environment Chapters: 00:00 - 00:12 Introduction to the Webinar 00:12 - 00:49 About the Speaker 00:49 - 03:18 About UReason 03:18 - 03:49 Cause Consequence Modelling 03:49 - 04:40 FMEA as Valuable Source 04:40 - 06:46 Bowtie Barrier Risk Models 06:46 - 08:16 Likelihood & Consequence Management 08:16 - 10:04 Monitor the Controls 10:04 - 11:24 Monitoring 11:24 - 12:10 Weighted Model - Calculating Likelihood 12:10 - 13:24 Monitor Unwanted Events/Causes & Consequences 13:24 - 17:12 Bowtie Chaining 17:12 - 30:20 Demo: Bowties in APM Studio 30:20 - 33:09 Q&A About the Speaker: Jules Oudmans, Director of Consultancy at UReason, brings extensive experience in operational intelligence and asset diagnostics. He'll share practical tips and proven methods to help you apply cause-consequence modelling in real-world maintenance scenarios. Visit ureason.com to learn more about data-driven maintenance and our Asset Performance Management solutions. 🔔 Subscribe to Our Channel: Stay up to date with expert insights, industry tips, and practical webinars on predictive maintenance, AI, and control valve diagnostics. #PredictiveMaintenance #CauseConsequence #AssetManagement #MaintenanceEngineering #UReason