Advances in Fault Detection and Diagnosis Using Filtering Analysis Paperback / softback
by Ziyun Wang, Yan Wang, Zhicheng Ji
Paperback / softback
- Information
Description
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:176 pages, 96 Illustrations, color; 11 Illustrations, black and white; XXI, 176 p. 107 illus., 96 il
- Publisher:Springer Verlag, Singapore
- Publication Date:27/10/2022
- Category:
- ISBN:9789811659614
Other Formats
- Hardback from £76.27
- EPUB from £93.08
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:176 pages, 96 Illustrations, color; 11 Illustrations, black and white; XXI, 176 p. 107 illus., 96 il
- Publisher:Springer Verlag, Singapore
- Publication Date:27/10/2022
- Category:
- ISBN:9789811659614