Whitehouse has published a number of articles and newsletters which readers should find helpful in addressing some of the issues key to project success.

How to lose money with inferential properties
Why don’t we properly train our control engineers?
How to lose money with basic controls

Download Whitehouse articles and newsletters

The first statistics guide focussing on practical application to process control design and maintenance
Statistics for Process Control Engineers is the only guide to statistics written by and for process control professionals. It takes a wholly practical approach to the subject. Statistics are applied throughout the life of a process control scheme – from assessing its economic benefit, designing inferential properties, identifying dynamic models, monitoring performance and diagnosing faults. This book addresses all of these areas and more.
The book begins with an overview of various statistical applications in the field of process control, followed by discussions of data characteristics, probability functions, data presentation, sample size, significance testing and commonly used mathematical functions. It then shows how to select and fit a distribution to data, before moving on to the application of regression analysis and data reconciliation. The book is extensively illustrated throughout with line drawings, tables and equations, and features numerous worked examples. In addition, two appendices include the data used in the examples and an exhaustive catalogue of statistical distributions. The data and a simple-to-use software tool are available for download. The reader can thus reproduce all of the examples and then extend the same statistical techniques to real problems.
  1. Takes a back-to-basics approach with a focus on techniques that have immediate, practical, problem-solving applications for practicing engineers, as well as engineering students
  2. Shows how to avoid the many common errors made by the industry in applying statistics to process control
  3. Describes not only the well-known statistical distributions but also demonstrates the advantages of applying the large number that are less well-known
  4. Inspires engineers to identify new applications of statistical techniques to the design and support of control schemes
  5. Provides a deeper understanding of services and products which control engineers are often tasked with assessing

This book is a valuable professional resource for engineers working in the global process industry and engineering companies, as well as students of engineering. It will be of great interest to those in the oil and gas, chemical, pulp and paper, water purification, pharmaceuticals and power generation industries, as well as for design engineers, instrument engineers and process technical support.

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The first edition of Process Control: A Practical Approach was hailed as a ground-breaking guide that provided everything needed to design and maintain modern process control applications. This second edition includes the same material but has been substantially enhanced to give more detail with more extensive explanations. It follows the hierarchy from basic control, through advanced regulatory control, up to and including multivariable control. It addresses many process-specific applications including those on fired heaters/boilers, compressors and distillation columns.
Written for the process control engineer, this book:

1. Brings together well-proven control design techniques, focussing on their practical application
2. Shows how to apply the many algorithms common to most distributed control systems
3. Uses the minimum of the control theory that has little application to the process industry
4. Includes a new chapter covering details of statistical techniques important to the design and maintenance of process controllers
5. For the more demanding reader includes as the last chapter more of the mathematical background to many control techniques

This book raises the standard of what might be expected of even basic controls. Proper application will result in significant improvements to process performance, beyond what the reader may be aware of – let alone know how to exploit.

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Myke King, director of Whitehouse Consulting, has developed the material covered by his organisation's well-known training courses into this book. It presents process control design techniques that have an immediate practical application. The theory, originating in the academic world and found daunting by most control engineers, is kept to a minimum.

The book addresses the wide array of algorithms and engineer-definable parameters included in most DCS. Time-consuming tuning by trial and error becomes largely unnecessary. Leading the reader from basic control techniques it progresses through ARC (advanced regulatory control) to more complex MPC (multivariable predictive control). It includes many process-specific examples - particularly for fired heaters, fired boilers, compressors and distillation columns.

The book takes a back-to-basics approach. The use of proprietary MPC packages is widespread. Control engineers have invested thousands of man-hours in the necessary plant testing and commissioning. Improving the basic controls is not usually an option once the MPC is in place. Thus poor basic control remains the status quo and becomes the accepted standard to the point where it is not addressed even when the opportunity presents itself. This book raises the standard of what might be expected from the performance of all controllers.

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