Preventive Maintenance (IOT)

Problem

  • Due to the high-risk nature of manufacturing operations, the only solution for never fail situations has been to over-ensure uptime with redundant equipment and too many parts on hand—an unsustainable model.
  • While these systems track performance of various components using sensors, there’s typically no proactive way to trigger maintenance to avoid downtime

Solution

  • This solution leverages Google Cloud Platform IoT core to read sensory data and predict the Remaining Useful Life (RUL) of components
  • Offers an end to end solution that securely reads sensor data in real time, processes the data and executes a Machine Learning model to get predictions

Benefits

  • Operations teams can plan preventive or corrective maintenance based on a deep understanding of asset performance patterns.
  • Proactive alerts help prevent costly downtime of machines