Development of a low cost embedded diagnosis system for servo controlled drives including data mining technologies
Ralf Wegener, Sebastian Gruber, Stefan Soter · 2009
This paper deals with an embedded diagnosis device which improves the reliability of a machine including servo controlled drives by monitoring the system parameters and detecting abnormalities and creeping changes. The detection algorithm is based on data mining technologies, well known in business administration. The presented system consists of a low cost processor board with an SD-card slot for data storage and a field bus connection and is completely independent of the main machine control. The additional benefits are online monitoring possibilities and the storage of the process variables in a high efficient way during the complete lifetime of the machine.