Predictive Maintenance

Employ a product-centric approach to servicing equipment

Use artificial intelligence models to predict machine downtime, schedule proactive maintenance, predict time to action for equipment requiring replenishment/replacement and other advanced data-enabled features

Identify impending faults early and help reduce costly emergency repairs

Predict when a component will fail and proactively schedule maintenance plans

Identify failure of an asset with longer lead time to improve reliability and performance

Drive mission-critical decisions such as which spare parts to replace

Resources about

Predictive Maintenance

  • Case Study: HVACR Analytics

    Unlock the value of HVACR sensor data with mnubo’s IoT analytics & data science library’s

    Download . pdf
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