Automatic data estimation

Data estimation is one of many tasks that are handled by the Processing Subsystem.

Data estimation methods also fall into various categories. This document arranges these methods as follows:

Default Estimation Method

The default estimation method pertains to using a pre-defined value for substitution purposes.

History-Based Estimation Methods

History-based estimation methods are used where sufficient Historical data (from the same object or an alternate source) is present to estimate values. History based estimation employs various algorithms for determining a variable’s estimated value based on past history.

Automatic Data Estimation is the calculation of the best-possible estimate for missing data (or invalid data, if so configured). Data Estimation is triggered by the following conditions:

• Gaps in the data.

• Late data.

If the Measurement system cannot generate an estimate for a missing value, the Measurement system ensures that the value in the system (if any exist) cannot be interpreted as valid measurement data.