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Modern automotive systems are increasingly defined by distributed software functions, complex state logic, and interconnected ECUs, making root cause analysis slower and more difficult than ever. Engineers are often forced to manually correlate measurement data, calibration results, and static documentation across disconnected tools, making troubleshooting time-consuming.

In this webinar, discover how a modern, model-based approach can dramatically accelerate fault analysis in complex automotive systems. Through a live demonstration, see how integrated data visualization, automatic overlays, and direct traceability through ECU software help engineers move rapidly from symptom to root cause.

What you’ll learn:

• How to visualize complex system behavior and let the data guide you to the root cause
• How an integrated environment eliminates wasted time spent on manual data correlation and documentation searches
• Common pitfalls of traditional troubleshooting methods – and how to avoid incorrect conclusions and costly delays
• How to identify root causes in minutes, not days, through live, data-driven troubleshooting of a complex system issue