[5D1] Digital twin for condition monitoring of actuators
R Smid
Czech Technical University in Prague, Czech Republic
A digital twin is an individual model of the physical system with the support of enabling technologies, including multiphysics simulation, machine learning, etc. We developed a digital twin for electromechanical actuators (EMAs) containing three essential parts: real physical system (real EMA), digital model (virtual EMA) and information interconnection (real-time data from sensors and control), which allows capturing the current state of the physical system in a digital model. The virtual EMA provides the near real-time representation of the physical EMA. It offers the potential to optimise operations and maintenance and further accelerates the new product development process. The virtual EMA enables degradation detection, ‘what-if’ simulations, remaining useful life (RUL) estimations, key performance indicators (KPIs) trending, etc. The degradation tracking performance of the digital twin was evaluated using a test stand with the real EMA and seeded faults (partial winding short). The results indicate that this approach can be used for the monitoring of EMA degradations.
