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Advances in Fault Detection and Diagnosis Using Filtering Analysis

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in Fault Detection and Diagnosis Using Filtering Analysis/ by Ziyun Wang, Yan Wang, Zhicheng Ji.
作者:	Wang, Ziyun.
其他作者:	Ji, Zhicheng.
面頁冊數:	XXI, 176 p. 107 illus., 96 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Cyber-Physical Systems. -
電子資源:	https://doi.org/10.1007/978-981-16-5959-1
ISBN:	9789811659591

Advances in Fault Detection and Diagnosis Using Filtering Analysis
Wang, Ziyun.

Advances in Fault Detection and Diagnosis Using Filtering Analysis[electronic resource] /by Ziyun Wang, Yan Wang, Zhicheng Ji. - 1st ed. 2022. - XXI, 176 p. 107 illus., 96 illus. in color.online resource.

Introduction -- Design of state space based fault diagnosis ﬁlter -- Design of ellipsoid set-membership based fault detection ﬁltering -- Design of polyhedron set-membership based fault detection ﬁlter -- Design of interval set-membership based fault detection ﬁlter -- Design of orthotopic set-membership based fault diagnosis ﬁlter -- Fault diagnosis method based on composite set-membership ﬁlter -- 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.

ISBN: 9789811659591

Standard No.: 10.1007/978-981-16-5959-1doiSubjects--Topical Terms:

1387591
Cyber-Physical Systems.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8312

Advances in Fault Detection and Diagnosis Using Filtering Analysis
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