Tag Archive: MLR

Nov
19

Application of Online Data Analytics to a Continuous Process

Application of Online Data Analytics to a Continuous Process Polybutene Unit

DeltaV Online Batch Data Analytics will be introduced next year in DeltaV v12. We worked closely with Lubrizol to demonstrate a prototype of this product in a field trails at the Rouen, France facility. Lubrizol and Emerson collaborated on a number of Emerson Exchange workshops that addressed different aspects of batch data analytics and the …

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Oct
22

Continuous Data Analytics – Impact of Transport Delay

Continuous Digester

When developing a PLS models for quality parameter prediction, the deviation of measurement values from their mean must be shifted in time to account for the time required for a change in the input to impact the quality parameter. Similarly, these delays should be taken into account in the processing of the deviation values used …

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Oct
15

Continuous Data Analytics – Impact of Grade Change

Continuous Reactor Example

The process operating points of a continuous process can shift with changes in the product grade that is manufactured. One example of this is a continuous reactor in which the target for output composition changes with product grades. To change the output composition, it is often necessary to change the operating point of one or …

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Oct
08

Continuous Data Analytics – Quality Parameter Prediction

Swing Boiler Example

The prediction of quality parameters using Partial Least Squares (PLS) models is often the preferred technique when dealing with collinear data where multiple process input changes impact similar process output measurements. Predictions based on this linear technique can be used to extrapolate outside the data range used in model development. Process interactions may be accounted …

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Oct
01

Continuous Data Analytics – On-line Use

Data Analytics - Filling the Gap

One of the key objectives of a process control system is to maintain product quality parameters within specification. On-line analyzers that automatically provide measurements of material properties to the control system may be too expensive, may have proven to be unreliable, or simply may not be available because of the complexity of the sampling system …

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