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Solving machine maintenance issues through data exploitation

Senseye-PdM
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Solving machine maintenance issues through data exploitation

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Our Technology Partner

 

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Customer challenge

 

  • Machine health related maintenance issues
  • Follow-on unplanned downtime issues in the showcase factory
  • Requirement of a solution capable of using existing data feeds and easy to use by machine operators

 

The solution

 

Senseye integrates with an existing installation of AVEVA Insight, taking data from a combination of non-intrusive inexpensive current and temperature sensors to understand machine health.

 

Results

 

  • Helped to save over €40,000 a year on a single machine in maintenance efficiency
  • Became a showcase PdM project within the organization
  • Resulted in Senseye and Schneider Electric collaborating on deeper integration at product and business level

 

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Going from conditional to predictive maintenance is a big step in building an industry 4.0 and Senseye helped us a lot in this journey”   Mathieu POMPEO, Industry 4.0 Project Leader at SE, Le Vaudreuil