Build predictive models using sensor data to determine when a machine is likely to fail. Using data mining techniques you can get ahead of machine failures to schedule preventative maintenance during off peak hours.
4. Predictive Analytics
• Can we predict when a machine is going to fail?
• Use historical data on failures
• Determine most importance factors
• Build a classification model to predict failure
• Apply active machine sensor data to the model
• Review predictions
6. Sensor Modeling
• By using sensor readings and known events such as failures you can
build predictive models to let you know when a possible failure will
occur.
• By knowing this information you can schedule preventative
maintenance in off hours to minimize downtown