Predictive Maintenance for
Electric Motors

Predictive Maintenance for
Industrial Electric Motors

  • Real time prediction of various maintenance attributes
  • Reduced maintenance costs
  • Reduced unexpected failures
  • Increased MTBF
  • Increased Uptime
  • Reduced spare part inventory


We support large and medium-sized industrial motor users in reducing the risk of their asset failures and inventory costs of spare parts.

Predicting the shutdown of big motor drives used in printing press while they are in operation. Price of each motor: 15000 euros.

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  • Increased motor uptime
  • Reduced inventory costs
  • Live production dashboard with predictive alerts
  • Measurable economic benefits
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a full case study

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The change we brought
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Most advanced ready to use AI modules for manufacturing data analytics
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Accuracy of APA models
Time of Transfer Learning from 1 to n Machines
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To Build your AI model
Our Proven Results
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Increase in OEE
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Decrease in delivery time
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Decrease in energy costs
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Reduction in quality defects

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