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Advances in fault detection and diagnosis using filtering analysis / Ziyun Wang, Yan Wang, Zhicheng Ji.

Wang, Ziyun, author.; Wang, Yan, author.; Ji, Zhicheng, author.
2022
TA169.6 .W36 2022
Available Online
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Title
Advances in fault detection and diagnosis using filtering analysis / Ziyun Wang, Yan Wang, Zhicheng Ji.
Author
Wang, Ziyun, author.
ISBN
9789811659591 (electronic bk.)
9811659591 (electronic bk.)
9789811659584
9811659583
DOI
https://doi.org/10.1007/978-981-16-5959-1
Published
Singapore : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color)
Item Number
10.1007/978-981-16-5959-1 doi
Call Number
TA169.6 .W36 2022
Dewey Decimal Classification
620/.0044
Summary
The book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection filters, it uses set-membership principles to deal with the unknown but bounded noise term. Some regular geometric spaces are introduced, such as the ellipsoid, polyhedron, interval, to describe the feasible parameter sets of the given system. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. Some typical application cases are studied for fault detection and diagnosis in detail, which are power converter, permanent magnet synchronous motor, pitch system of wind turbine. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of fault detection and diagnosis.
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Includes bibliographical references.
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Access limited to authorized users.
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text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 10, 2021).
Added Author
Wang, Yan, author.
Ji, Zhicheng, author.
Available in Other Form
Advances in fault detection and diagnosis using filtering analysis.
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Introduction
Design of state space based fault diagnosis lter
Design of ellipsoid set-membership based fault detection ltering
Design of polyhedron set-membership based fault detection lter
Design of interval set-membership based fault detection lter
Design of orthotopic set-membership based fault diagnosis lter
Fault diagnosis method based on composite set-membership lter
Summary.

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