Predictive maintenance

Predictive Maintenance solution optimizes the maintenance system by analyzing historical data and the current state of devices, equipment, machinery, building infrastructure and supporting utilities in industrial, business, governmental, and residential installations to predict when they will need servicing, repairing or replacing in the future.

 

Benefits

  • Adapting and responding well to Big Data and Time-Series.
  • Providing fast and high-quality prediction.
  • Increasing the devices, equipment and machinery’s lifespans.
  • Eliminating unforeseen downtime and keep devices and machinery running smoothly. 
  • Reducing maintenance costs and resources.

Application

Operating model

Step

1

Data collection

  • Data obtained from sensors.
  • Past data (if applicable).

Step

2

Predictive Model with AI

  • Provide a predictive model for operation error and system failure.
  • Deep Learning Network: Combines the best available networks.
  • Combined size reduction and variable selection techniques.
  • Parameter optimization by DCA – an innovative optimization approach.

Step

3

Prediction

  • Predict the probability of operation error and system failure.
  • Predict the time of operation error and system failure.

Technology

  • Deep Learning
  • DC Algorithm