The object of this book is to present a systematic method for auxiliary signal design in fault detection and diagnosis. It covers systems that can be represented by linear or linearised multiple-input, multiple-output stochastic models. It is very illustrative since each new concept is demonstrated with simple examples and plots. Some fundamental problems in change detection have been investigated. A basic knowledge of probability theory, statistical inference, matrix and control theory is required. Postgraduates and researchers will find it an interesting reference to fault detection and test signal design. The book can also be used as a tutorial material for final year undergraduates, especially those who work on a project related to test signal designs, fault detection or modeling.

Bibliographic Information

Book Title: Auxiliary Signal Design in Fault Detection and Diagnosis
Editors: Xue Jun Zhang
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/BFb0009313
Publisher: Springer Berlin, Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1989
Softcover ISBN: 978-3-540-51559-3Published: 01 September 1989
eBook ISBN: 978-3-540-46643-7Published: 20 October 2005
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XII, 217
Number of Illustrations: 60 b/w illustrations
Topics: Control, Robotics, Mechatronics, Systems Theory, Control, Calculus of Variations and Optimal Control; Optimization, Mathematical and Computational Engineering, Communications Engineering, Networks, Computer Hardware

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Auxiliary Signal Design in Fault Detection and Diagnosis

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Table of contents (7 chapters)

Front Matter

Preliminaries

Sequential probability ratio test

Auxiliary signals for improving fault detection

Extension to multiple hypothesis testing

Modelling and identification of the chemical process

Fault detection and diagnosis in the chemical process

Conclusions and further research

Back Matter

Keywords

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