Simo Käki

This research aims to improve the lifespan and efficiency of off-road machinery used in industries such as agriculture, construction, and mining.These machines often operate for long hours in harsh conditions, causing wear, energy losses, and higher maintenance costs.

The study focuses on Health Aware Control (HAC) approach that monitors the condition of machine components in real time and adjusts how they operate to slow down wear, prevent failures, and extend their Remaining Useful Life (RUL). The work applies HAC to actuators, such as electric motors, hydraulic pumps, and cylinders, which are critical for machine performance.

HAC can also connect to predictive maintenance systems, enabling coordinated diagnostics and smarter maintenance scheduling. The study investigates how HAC affects actuator performance, compares different control strategies, and tests the approach through simulations and experiments using MATLAB Simulink and custom-built test rigs.

The results are expected to show that combining HAC with AI can improve reliability, reduce energy use, cut operational costs, and make off-road machinery more sustainable.