Tag Archive: “fault detection”

Nov
11

Application of On-line Data Analytics to a Continuous Process Polybutene Unit

_MG_1543-3

Lubrizol Corporation has installed at the Deer Park, TX plant a field trail version of Emerson’s Continuous Data Analytics capability. Over the last year Qiwei Li, production engineer, and Robert Wojewodka, Technology Manager and Statistician, have developed PCA/PLS models to predict quality parameter and detect faults for the Polybutene and refrigerant compressor units at the …

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Sep
23

Continuous Data Analytics – Field Trail Results

Fig9_24

Over the last two years the future architecture team has conducted field tests of a continuous data analytics capability for quality parameter prediction and process and measurement fault detection. This continuous data analytics capability is addressed in Chapter 9 of Advanced Control Foundation – Tools, Techniques and Applications. The workshop for this chapter is designed …

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Dec
10

Foundation Book Promotional Kit

Foundaton Book Display

The single loop and multi-loop control techniques most often used in automating continuous and batch processes are addressed in the book Control Loop Foundation – Batch and Continuous Processes. Similarly, the advanced control techniques that are most often utilized in the process industry are addressed in the book Advanced Control Foundation – Tools, Techniques, and …

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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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Sep
24

Continuous Data Analytics

ContinuousDataAnalyticsFieldtrailProcess

One of the areas addressed by the DeltaV future architecture team over the last two years has been the research and development of on-line continuous data analytics for fault detection quality parameter prediction. This year a prototype of this capability is being tested at two plants in Texas and one plant in Canada. Lubrizol, Deer …

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Nov
28

Improving Continuous Process Operation Using Data Analytics

Improving Continuous Process Operation Using Data Analytics

At Emerson Exchange, 2011, I had the pleasure of working with Frank Seibert, Technical Manager and Eric Chen, Associate Researcher, Pickle Research Center, University of Texas at Austin SRP and John Caldwell, Advanced Control Marketing Manage, and Willy Wojsznis, Senior Technologist, Emerson Process Management, to host a workshop that addresses how data analytics may be …

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