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Solving machine maintenance issues through data exploitation
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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
“
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