MOTORS AND BEARINGS PREDICTIVE MAINTENANCE

Big Data analytics and machine learning to predict when motors or bearings will fail

predict failures in industrial motos and bearings

Goal

Reduce lifecycle cost of big machines and bearings for a particular industry.

Frequent bearing replacements

Problem

Bearing replacement is done on a preventive basis at a high cost on a regular basis although the equipment is often still in pristine state when disassembled.

Machine learning
Our solution
Approach
  • Help our client with the selection of adapted sensor suppliers.
  • Collect data and train a self learning model of failure prediction.
  • Design and develop bespoke dashboards and alarms.
Main benefits
  • Cost reductions due to improved lifecycle cost
  • Less maintenance downtime leads to an increase in productivity
  • Side benefits of data analysis
Industrial Internet of Things IIoT

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