The process of the project can include various services:
• Research into evaluation methods and
-algorithms for networked sensors (AG Messtechnik)
• Feature extraction and selection based on
Sensor data in the time and frequency range
• Supervised and unsupervised learning methods for detection
and quantification of damage and wear processes
• Development of test benches for performing characterization measurements
• Exploring self-sensing concepts for
Electromagnetic drives (AG Antriebstechnik)
• Implementation and comparative study of the DFC procedure
(Direct Flux Control) and alternative methods for sensorless control
• Investigation of further parameter identification methods
for condition monitoring and self-diagnosis
• Development of a test bench of low power incl. power electronics
and integrated real-time data processing
• Coordination of the joint project