Webinar On Demand
From Sensor Signal to Diagnosis: Discover DiagFit 4.3
How can industrial teams detect anomalies, diagnose issues and predict degradation with limited failure data?
In this on-demand webinar, I-care experts Doğan Kaban and Florentin Brisebard demonstrate how DiagFit combines industrial expertise and machine learning to deliver actionable maintenance insights.
Through a live demo of a pharmaceutical reactor, discover how DiagFit detects sudden cooling failures and progressive jacket fouling.
- Detect and diagnose sudden failures using expert rules and sensor data.
- Predict degradation early, even with limited failure history.
- Automate no-code monitoring, from anomaly detection to actionable maintenance insights.
Fill in the form to access the webinar replay and see DiagFit in action.
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