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    Advances in Fault Detection and Diagnosis Using Filtering Analysis

    Advances in Fault Detection and Diagnosis Using Filtering Analysis by Wang, Ziyun; Wang, Yan; Ji, Zhicheng;

      • 20% KEDVEZMÉNY?

      • A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
      • Kiadói listaár EUR 128.39
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        54 463 Ft (51 869 Ft + 5% áfa)
      • Kedvezmény(ek) 20% (cc. 10 893 Ft off)
      • Discounted price 43 570 Ft (41 495 Ft + 5% áfa)

    Beszerezhetőség

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    A Prosperónál jelenleg nincsen raktáron.

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    A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.

    A termék adatai:

    • Kiadás sorszáma 1st ed. 2022
    • Kiadó Springer
    • Megjelenés dátuma 2022. október 27.
    • Kötetek száma 1 pieces, Book

    • ISBN 9789811659614
    • Kötéstípus Puhakötés
    • Terjedelem176 oldal
    • Méret 235x155 mm
    • Súly 314 g
    • Nyelv angol
    • Illusztrációk 11 Illustrations, black & white; 96 Illustrations, color
    • 449

    Kategóriák

    Rövid leírás:

    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.

    Több

    Hosszú leírás:

    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)

    Több

    Tartalomjegyzék:

    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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