In his doctoral research, Abid Abdul Azeez studied systems, which combine electrical, mechanical, and hydraulic components. His study focused on key components, including hydraulic check valves, axial piston pumps, external gear pumps, and hydraulic actuators. Sensor data was preprocessed through feature extraction, normalization, and selection, while transfer learning approaches extended the framework’s adaptability across different systems. The framework achieved high accuracy, with balanced classification scores ranging from 85% to 98%.
"My research establishes a scalable and efficient framework for real-time condition monitoring, paving the way for smarter and more reliable electro-hydraulic systems in industrial applications," he says.
Currently, Abid Abdul Azeez works as a System Simulation Expert at Wärtsilä, a global leader in lifecycle solutions for the marine and energy markets. He continues to advance simulation models that generate synthetic data to train AI-based models, further enhancing system reliability and efficiency.
Public defence on Friday 21 February
The doctoral dissertation of MSc (Tech) Abid Abdul Azeez, titled AI-Based Condition Monitoring of Electro-Hydraulic Systems for Non-Road Mobile Machine Applications will be publicly examined at Tampere University on Friday 21 February 2025, at 12 o’clock at Hervanta campus, in Konetalo, auditorium K1702 (Korkeakoulunkatu 6, Tampere).
The Opponents will be Associate Professor Fulvio Palmieri from Roma Tre University, Italy, and Professor Matti Rantatalo from Luleå University of Technology, Sweden. Associate Professor Tatiana Minav from Tampere University will act as the Custos.