Statistics for process control engineers : a practical approach / Myke King.

Format:

Book

Author/Creator:

King, Myke, 1951-

Language:

English

Subjects (All):

Process control--Mathematical models.

Process control.

Engineering--Statistical methods.

Engineering.

Engineering mathematics.

Physical Description:

1 online resource (xvii, 600 p.) : ill.

Edition:

First edition.

Place of Publication:

Hoboken, N.J. : Wiley, 2017.

Summary:

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.

Contents:

Part 1 The Basics

1. Introduction

2. Application to Process Control

3. Process Examples

4. Characteristics of Data

5. Probability Density Function

6. Presenting the Data

7. Sample Size

8. Significance testing

9. Fitting a Distribution

10. Distribution of Dependent Variables

11. Commonly Used Functions

12. Selected Distributions

13. Extreme Value Analysis

14. Hazard Function

15. CUSUM

16. Regression Analysis

17. Autocorrelation

18. Data Reconciliation

19. Fourier Transform

Part 2 Catalogue of Distributions

20. Normal Distribution

21. Burr Distribution

22. Logistic Distribution

23. Pareto Distribution

24. Stoppa Distribution

25. Beta Distribution

26. Johnson Distribution

27. Pearson Distribution

28. Exponential Distribution

29. Weibull Distribution

30. Chi Distribution

31. Gamma Distribution

32. Symmetrical Distributions

33. Asymmetrical Distributions

34. Amoroso Distribution

35. Binomial Distribution

36. Other Discrete Distributions

Appendix 1: Data Used in Examples

Appendix 2: Summary of Distributions.

Notes:

Includes bibliographical references and index.

Other Format:

Online version: King, Myke, 1951- Statistics for process control engineers

ISBN:

9781119383482

111938348X

9781119383529

1119383528

9781119383536

1119383536

OCLC:

980871644