Statistics for Process Control Engineers

Informationen zum Autor Myke King is Director of Whitehouse Consulting which provides process control consulting and training services. For the past 40 years he has been running courses for industry covering all aspects of process control, training over 2,000 students. He also lectures at several universities. He is author of the popular Process Control: A Practical Approach, now in its second edition (Wiley, 2016). Klappentext The first statistics guide focussing on practical application to process control design and maintenanceStatistics 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. 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 Shows how to avoid the many common errors made by the industry in applying statistics to process control Describes not only the well-known statistical distributions but also demonstrates the advantages of applying the large number that are less well-known Inspires engineers to identify new applications of statistical techniques to the design and support of control schemes* Provides a deeper understanding of services and products which control engineers are often tasked with assessingThis 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. Zusammenfassung The first statistics guide focussing on practical application to process control design and maintenanceStatistics 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 equ...

Auteur

Myke King is Director of Whitehouse Consulting which provides process control consulting and training services. For the past 40 years he has been running courses for industry covering all aspects of process control, training over 2,000 students. He also lectures at several universities. He is author of the popular Process Control: A Practical Approach, now in its second edition (Wiley, 2016).

Texte du rabat

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. 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 Shows how to avoid the many common errors made by the industry in applying statistics to process control Describes not only the well-known statistical distributions but also demonstrates the advantages of applying the large number that are less well-known Inspires engineers to identify new applications of statistical techniques to the design and support of control schemes * 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.

Contenu

Preface xiii About the Author xix Supplementary Material xxi Part 1: The Basics 1 1. Introduction 3 2. Application to Process Control 5 2.1 Benefit Estimation 5 2.2 Inferential Properties 7 2.3 Controller Performance Monitoring 7 2.4 Event Analysis 8 2.5 Time Series Analysis 9 3. Process Examples 11 3.1 Debutaniser 11 3.2 De-ethaniser 11 3.3 LPG Splitter 12 3.4 Propane Cargoes 17 3.5 Diesel Quality 17 3.6 Fuel Gas Heating Value 18 3.7 Stock Level 19 3.8 Batch Blending 22 4. Characteristics of Data 23 4.1 Data Types 23 4.2 Memory 24 4.3 Use of Historical Data 24 4.4 Central Value 25 4.5 Dispersion 32 4.6 Mode 33 4.7 Standard Deviation 35 4.8 Skewness and Kurtosis 37 4.9 Correlation 46 4.10 Data Conditioning 47 5. Probability Density Function 51 5.1 Uniform Distribution 55 5.2 Triangular Distribution 57 5.3 Normal Distribution 59 5.4 Bivariate Normal Distribution 62 5.5 Central Limit Theorem 65 5.6 Generating a Normal Distribution 69 5.7 Quantile Function 70 5.8 Location and Scale 71 5.9 Mixture Distribution 73 5.10 Combined Distribution 73 5.11 Compound Distribution 75 5.12 Ge…