Book description
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.
Uwe Kruger, The Petroleum Institute, Abu Dhabi, United Arab Emirates
Lei Xie
, Institute of Cyber-Systems & Control, Zhejiang University, China
