Check nearby libraries
Buy this book
Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools.^
This second edition of Model-Based Fault Diagnosis Techniques contains:
· new material on fault isolation and identification, and fault detection in feedback control loops;
· extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises;
- addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and
· enhanced discussion of residual evaluation in stochastic processes.^
Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.
Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.
· enhanced discussion of residual evaluation in stochastic processes.^
Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.
Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Check nearby libraries
Buy this book
Previews available in: English
Subjects
Control, Quality Control, Reliability, Safety and Risk, Industrial Chemistry/Chemical Engineering, Engineering, Production of electric energy or power, Electrical Machines and Networks Power Electronics, Chemical engineering, System safety, Automatic control, Engineering, mathematical modelsShowing 4 featured editions. View all 4 editions?
Edition | Availability |
---|---|
1
Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
2015, Springer London, Limited, Springer
in English
1447161114 9781447161110
|
zzzz
Libraries near you:
WorldCat
|
2
Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
Jan 02, 2013, Springer
hardcover
1447147987 9781447147985
|
aaaa
Libraries near you:
WorldCat
|
3
Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
2013, Springer London, Imprint: Springer
electronic resource :
in English
- 2nd ed. 2013.
1447147995 9781447147992
|
zzzz
Libraries near you:
WorldCat
|
4 |
zzzz
Libraries near you:
WorldCat
|
Book Details
Edition Notes
Source title: Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools (Advances in Industrial Control)
Classifications
The Physical Object
ID Numbers
Community Reviews (0)
Feedback?History
- Created April 30, 2020
- 2 revisions
Wikipedia citation
×CloseCopy and paste this code into your Wikipedia page. Need help?
December 25, 2021 | Edited by ImportBot | import existing book |
April 30, 2020 | Created by ImportBot | Imported from amazon.com record |