Fault Identification in a Blood Pump using Neural Networks
This paper compares two fault identification implementations based on a neural network and a model based approach. Our worked example is the detection of gas bubbles in the pump head of a centrifugal blood pump. We focus on algorithms applicable on minimal sensor data with a reasonable implementation effort. The approaches were restricted to the desired blood flow and the measured rotational speed of the pump. We evaluated both implementations with data from an ECMO system.
K{\"u}hn, Jan and Buglowski, Mateusz and Stollenwerk, Andre and Kowalewski, Stefan and Walter, Marian and Leonhardt, Steffen and Petran, Jan and Kopp, R{\"u}dger and Rossaint, Rolf and Janisch, Thorsten