Erik Etien

Erik Etien is an Associate Professor with HDR (Habilitation à Diriger des Recherches) in Automatic Control and Systems at the University of Poitiers, France. He is affiliated with the Laboratory of Sensorial Applications Engineering (LIAS) which maintains facilities at both ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers) and ISAE-ENSMA.

His research focuses on automatic control systems with particular expertise in:

• Induction motor control and fault detection
• Permanent magnet synchronous motor/generator diagnostics
• Sensorless control techniques
• Signal processing for condition monitoring
• Digital twin technology for predictive maintenance
• Software sensors and estimation algorithms

Dr. Etien's recent publications demonstrate a strong focus on developing advanced signal processing techniques for fault detection in electrical machines, particularly using tacholess (speed sensor-free) approaches. His work often combines model-based methods with adaptive filtering techniques like Kalman filters, with increasing incorporation of machine learning approaches in recent years. His research spans applications across multiple industries including wind energy, industrial automation, and power systems, with demonstrated practical implementations in transformers, vacuum processes, and electromechanical systems.

He has co-authored two books on data acquisition systems and sensorless vector control of asynchronous machines, establishing his expertise in the field. His laboratory work at LIAS involves close collaboration with researchers including Sebastien Cauet, Laurent Rambault, and Anas Sakout on various control systems projects.