Statistical Monitoring of Complex Multivatiate Processes: With Applications in Industrial Process Control

·
· John Wiley & Sons
Ebook
480
Pages
Ratings and reviews aren’t verified  Learn More

About this ebook

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.

About the author

Uwe Kruger, The Petroleum Institute, Abu Dhabi, United Arab Emirates

Lei Xie, Institute of Cyber-Systems & Control, Zhejiang University, China

Rate this ebook

Tell us what you think.

Reading information

Smartphones and tablets
Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.
Laptops and computers
You can listen to audiobooks purchased on Google Play using your computer's web browser.
eReaders and other devices
To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.