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Reduction of machine downtimes

By detecting anomalies in injection molding machines at an early stage, condition monitoring can prevent both unwanted machine downtimes and unnecessary rejects.

In the plastics cluster project “ReGuMa – Reduction of planned and unplanned machine downtimes”, one or two defined error cases were analyzed at each company partner and the possibility of preventing unplanned downtimes was evaluated.

The aim was early fault detection for all types of injection molding machines using non-invasive sensors and intelligent evaluation of the sensor data.

Project partners: AISEMO GmbH, Aspöck Systems GmbH, Ing. Gerhard Fildan GesmbH, Ing. H. Gradwohl GmbH, MKW Kunststofftechnik GmbH, PTM Kunststofftechnologie GmbH.

Requirements

  • Early detection of faults on injection molding machines
  • Sensor data collection on various types of injection molding machines
  • Evaluation of the sensor data
  • Project management of the cluster coordination project

Solution

  • Hardware
  • Support with data analysis
  • Coordination of cluster cooperation project
Your contact person

Erwin Schimbäck

Business Area Manager Sensors & Communication
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