Statistical Monitoring of Complex Multivatiate Processes: With Applications in Industrial Process Control
Language: English
Published by John Wiley & Sons Inc, 2012
- First Edition
- Hardcover
- New

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Seller Inventory # V9780470028193
- Title
- Statistical Monitoring of Complex Multivatiate Processes: With Applications in Industrial Process Control
- Author
- Uwe Kruger
- Publisher
- John Wiley & Sons Inc
- Publication year
- 2012
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 047002819X
- ISBN 13
- 9780470028193
- Edition
- 1st Edition
- Series
- Book 19 of 49: Statistics in Practice
The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering areas, for example mechanical and manufacturing, chemical, electrical and electronic, and power engineering. The recipe for the tremendous interest in multivariate statistical techniques lies in its simplicity and adaptability for developing monitoring applications. In contrast, competitive model, signal or knowledge based techniques showed their potential only whenever cost-benefit economics have justified the required effort in developing applications.
Statistical Monitoring of Complex Multivariate Processes presents recent advances in statistics based process monitoring, explaining how these processes can now be used in areas such as mechanical and manufacturing engineering for example, in addition to the traditional chemical industry.
This book:
- Contains a detailed theoretical background of the component technology.
- Brings together a large body of work to address the field’s drawbacks, and develops methods for their improvement.
- Details cross-disciplinary utilization, exemplified by examples in chemical, mechanical and manufacturing engineering.
- Presents real life industrial applications, outlining deficiencies in the methodology and how to address them.
- Includes numerous examples, tutorial questions and homework assignments in the form of individual and team-based projects, to enhance the learning experience.
- Features a supplementary website including Matlab algorithms and data sets.
This book provides a timely reference text to the rapidly evolving area of multivariate statistical analysis for academics, advanced level students, and practitioners alike.
"Synopsis" may belong to another edition of this title.
About the Author
Uwe Kruger, The Petroleum Institute, Abu Dhabi, United Arab Emirates
Lei Xie, Institute of Cyber-Systems & Control, Zhejiang University, China"About the title" may belong to another edition of this title.
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