Master project in collaboration with Johnson Electric

Quick detection of the actuator subjective noise issues is a challenging task. Especially, executed at the end of production line in noisy surrounding condition which prohibits actual direct measurement of acoustic noise emission. To tackle that problem, the indirect measurements of other values such as current, voltage angular position of actuators obtained during the test are recorded. From that readings one is able to infer about the state of the actuator.

In the project we will look into developing a system Identification method and AI module which would jointly enable detection of faulty actuators.

Johnson Electric (JE) and EPFL are working together to develop a proof-of-concept tool which would solve the described problem.