معرفی
Andreas Nicola is a Professor and current Head of the Institute of Machine Components. His work focuses on integrating Artificial Intelligence and Machine Learning into Prognostics and Health Management (PHM) systems for industrial and wind power drives.
Research highlights include:
- Developing AI-driven strategies for early pitting damage detection in gearboxes
- Implementing adaptive operating strategies to extend the remaining useful life of wind turbine components
- Systematic Design of Experiments (DOE) to correlate sensor data with damage progression
- Multi-sensor data acquisition combining vibration, torque, and speed measurements
His team's work on AI-based condition monitoring has direct applications in offshore wind energy systems, where minimizing downtime and ecological footprints is critical.
Contact: Phone +49 711 685 66532 | Room 2.129, Pfaffenwaldring 9, 70569 Stuttgart, Germany
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