We're excited to see our joint work with Siemens Energy and Technische Universität Berlin published in ZWF – Journal of Economic Manufacturing! 🚀

👉 “Developing and Qualifying an ML Application for Maintenance Repair and Overhaul Assistance” is now online.

This publication showcases what we at Gestalt Automation are passionate about: building industry-grade AI systems within digital twin environments and deploying them through robust MLOps pipelines.

The results stem from the MRO 2.0 research project, where we explore how machine learning can drive efficiency and reliability in Maintenance, Repair, and Overhaul (MRO) processes.

In this case, we developed and continuously qualified an ML application for turbine blade MRO, using neural networks for damage detection and decision trees for repair estimation—guided by ISO/IEC standards and Responsible AI principles.

This is what applied AI looks like in industrial practice: validated use cases, scalable pipelines, and trust in automation.

🔗 Read and download the full article here: https://lnkd.in/dpWzHvWq

#DigitalTwin #MLOps #AIinProduction #IndustrialAI #ResponsibleAI #SmartManufacturing #TurbineMaintenance #MachineLearning #ZWF #MRO2_0