Developing an integrated condition monitoring system - Servo Sense

In the manufacturing sector, drive monitoring systems are only used for limit value monitoring and to ensure machine operability. However, information such as current, speed, position, the corresponding setpoints and manipulated variables in the controller cycle of the servo inverter are hardly used, but have a high potential for deducing statements about process quality, safety and robustness. On the one hand, there is currently still a lack of targeted, algorithmic compression into technically meaningful smart data. On the other hand, there is a lack of connection between separately recorded sensor data and decisive meta-information, e.g. a device‘s history.

Therefore the project aims to make accessible the already existing operating data of servo inverters (SU) installed in drive components and process them through Prony analysis in order to develop a condition monitoring system for mechatronic drives for mask production plants. Thus, it is possible to infer the operating states of the drives without the aid of external sensors, assign process and machine deviations to their causes, record process parameters at 100µs intervals and to adjust them if necessary, to ultimately increase machine efficiency.