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Drivetrain Digitalization in the Production of Electric Motors

Machine Building

Siemens AG

Nuremberg Germany

Drivetrain Digitalization in the Production of Electric Motors
Bad Neustadt an der Saale,
Germany
Siemens Xcelerator
Assure maximum machine availability and high process efficiency of the Sandblasting Machine, which is prone to high and irregular component wear.
Analysis of continuous data such as speed, torque, temperature etc. coming from SINAMICS G120 drives. The Basic Anomaly Detection feature of the Drivetrain Analyzer Edge app (formerly called Analyze MyDrives Edge app) provides remote transparency about the overall current health condition. 
Using Drivetrain Analyzer Edge, we were able to monitor the health of a critical machine element and detect when it is approaching the end of its life. This reduced the risk of unplanned downtimes and optimized maintenance planning, which decreased the total cost of ownership for the machine. This has been achieved within our industrial edge ecosystem without any additional sensors.
Peter Zech, Head of Innovation and Digitalization in Bad Neustadt
  • Easy machine health monitoring during productive machine state. 
  • Optimized maintenance planning in terms of real maintenance demand and energy efficiency, plannable spare parts procurement. 
  • Reduced costs: 
  • Less unnecessary maintenance activities 
  • Avoidance of inefficient machine utilization (avoid elevated energy costs of up to +50%) 
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