Advances in Fault Detection and Diagnosis Using Filtering Analysis
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54 463 Ft
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Product details:
- Edition number 1st ed. 2022
- Publisher Springer
- Date of Publication 27 October 2022
- Number of Volumes 1 pieces, Book
- ISBN 9789811659614
- Binding Paperback
- No. of pages176 pages
- Size 235x155 mm
- Weight 314 g
- Language English
- Illustrations 11 Illustrations, black & white; 96 Illustrations, color 449
Categories
Short 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.
Long 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.
?Many examples are given with explicit calculations, algorithms, tables and an unusually large number of illustrations and diagrams. That furthers the intuitive understanding of the matter and encourages the reader to adapt the methods to his own problems and further develop them.? (Heinrich Hering, zbMATH 1504.94003, 2023) More
Table of Contents:
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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