Advances in Fault Detection and Diagnosis Using Filtering Analysis

by Ziyun Wang, Zhicheng Ji, Yan Wang

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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...

Format:Paperback

Language:English

ISBN:9811659613

ISBN13:9789811659614

Release Date:October 2022

Publisher:Springer

Length:176 Pages

Weight:0.63 lbs.

Dimensions:0.4" x 6.1" x 9.2"

Related Subjects

Engineering Technology

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Advances in Fault Detection and Diagnosis Using Filtering Analysis

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