Would you like to discover the hidden potential of your data to build predictive models with AI?
TO DEVELOP AN
ANALYTICAL TWIN
It is required to know the past and understand future possibilities, this is what we refer to as predictive analytics.
The understanding of the past is based on the analysis of the information that is captured in the form of data. The data collected and the collection methods (periodicity, completeness) determine our understanding of the information related to the performance of an industrial asset and confirm whether we have enough data to see future possibilities.
Uptime Analytics’ AHC evaluates the quality and completeness of your data and is the starting point for the implementation of an Analytical Twin.
- It is required to know the past and understand future possibilities, this is what we refer to as predictive analytics.
- Uptime Analytics’ AHC evaluates the quality and completeness of your data and is the starting point for the implementation of an Analytical Twin.
OUR AHC IS UNIQUELY DESIGNED
FOR EACH TYPE OF EQUIPTMENT
and will help you confirm 80% of what you already know, but the remaining 20% will surprise you by discovering you with the remaining 20% when discovering relevant aspects of your data. We are interested in showing you the capabilities of your data to strengthen your decision models.
Would you like to know if your data is ready for modeling?
TRANSFORMERS
- Frozen variables over a predefined period of time
- Empty fields
- Low and high line voltages
- Negative values in RMS variables
- Power values with reversed polarities depending on the side of the transformer
- Power factors greater than 1
- And many more criteria
Kilns
- Frozen variables over a predefined period of time
- Interpolated variables that hinder analytical models
- Empty fields
- Abnormal air or gas flows
- High variability of critical process variables
- Negative or highly variable temperatures
- And many more criteria
At Uptime Analytics we offer you an analysis free of charge to know the potential of your data.
Leave us your contact information and we will contact you.