Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Prof. Ziyun Wang, his research interests include fault detection and fault diagnosis, filtering technique, power converter analysis, mobile robot control, wind turbine analysis. More than 20 articles have been published in the fault detection and filtering area.
Prof. Yan Wang, her research interests include system identification, fault detection, energy-efficient control of complex manufacturing system, industrial networked system, evolutionary computing. More than 20 articles have been published in the fault detection and filtering area.
Prof. Zhicheng Ji, his research interests include filtering technique, morden control theory, industrial networked system, optimal control of complex manufacturing system. More than 40 articles have been published in the fault detection and filtering area.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Advances in Fault Detection and Diagnosis Using Filtering Analysis (eng)
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Advances in Fault Detection and Diagnosis Using Filtering Analysis (Hardcover)
Edité par
Springer Verlag, Singapore, Singapore, 2021
ISBN 10 : 9811659583
ISBN 13 : 9789811659584
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Hardcover. Etat : new. Hardcover. 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. The book provides fault detection and diagnosis approaches from the perspective of filtering analysis. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9789811659584
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Advances in Fault Detection and Diagnosis Using Filtering Analysis
Edité par
Springer Nature Singapore Okt 2021, 2021
ISBN 10 : 9811659583
ISBN 13 : 9789811659584
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 powerconverter, 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. 200 pp. Englisch. N° de réf. du vendeur 9789811659584
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Advances in Fault Detection and Diagnosis Using Filtering Analysis
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Advances in Fault Detection and Diagnosis Using Filtering Analysis
Edité par
Springer Nature Singapore, 2021
ISBN 10 : 9811659583
ISBN 13 : 9789811659584
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses fault detection and fault diagnosis processStudies different geometric spaces in filtering techniqueProvides in-depth treatment of application casesProf. Ziyun Wang, his research interests include fault detection and fa. N° de réf. du vendeur 492762401
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Advances in Fault Detection and Diagnosis Using Filtering Analysis
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26390238799
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Advances in Fault Detection and Diagnosis Using Filtering Analysis
Edité par
Springer Nature Singapore, 2021
ISBN 10 : 9811659583
ISBN 13 : 9789811659584
Ancien ou d'occasion
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Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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. N° de réf. du vendeur 38111330/1
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Advances in Fault Detection and Diagnosis Using Filtering Analysis
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Advances in Fault Detection and Diagnosis Using Filtering Analysis
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Advances in Fault Detection and Diagnosis Using Filtering Analysis
Edité par
Springer, Springer Okt 2021, 2021
ISBN 10 : 9811659583
ISBN 13 : 9789811659584
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 200 pp. Englisch. N° de réf. du vendeur 9789811659584
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