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)
Other Standard Identifiers 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics 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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