Intelligent diagnostics for high-tech equipment

High-tech systems are increasingly complex, making traditional troubleshooting impractical. Intelligent diagnostics bridges design and operation with a model-based approach that combines design knowledge and data-driven insights. During system design, it enables diagnosability assessments to identify observability gaps and optimize architecture. In the field, the same models power digital assistants that guide service engineers through efficient root-cause analysis, even when expertise is scarce.

Prevent failures. Ensure performance.
Simplify complexity.

Using probabilistic reasoning and AI-based decision support, this methodology minimizes downtime and improves dependability. Research focuses on diagnostic modeling, design space exploration, probabilistic reasoning, and learning from operational data - helping the high-tech industry tackle complexity and scale service organizations effectively.

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