MedTechCM

Thanks to increasing automation in the field of information and decision-making processes, workflows can be optimized and their quality significantly enhanced. However, the foundation of data collection requires a large body of reliable information, which in turn relies on measurement data generated through condition monitoring and the application of various diagnostic methodologies.

Since a large number of mechatronic systems operate using feed drives and defined path instructions, condition monitoring of physical machine data and signals has become established, particularly in modern industry. However, the implementation of such a method and its application in an industrial setting—especially with a focus on a specific product group—still poses a major challenge for users.

Therefore, within the framework of the MedTechCM research project, metrological methods for evaluating the mechatronic properties and the quality of the drive trains are to be tested and analyzed, specifically on complex medical devices. The basis for data collection is to be based on both electrical and mechanical condition variables, which are reflected in the signal waveforms of the internal drive and control loop parameters.