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Fault Detection Isolation Multi Sensor by Monteriù Andrea (8 results)

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  • Language: English

    Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014

    3659384771 / 9783659384776

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    Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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    Condition: New. pp. 172.

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2014

    3659384771 / 9783659384776

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    Seller: moluna, Greven, Germanymoluna

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  • Language: English

    Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014

    3659384771 / 9783659384776

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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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    Condition: New. Print on Demand pp. 172 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

  • Language: English

    Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014

    3659384771 / 9783659384776

    • Softcover
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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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    Condition: New. PRINT ON DEMAND pp. 172.

  • Language: English

    Published by LAP LAMBERT Academic Publishing Apr 2014, 2014

    3659384771 / 9783659384776

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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fault Detection and Isolation (FDI) methods that monitor the navigation system for sensor faults in real-time, can contribute significantly to improve system reliability. Quick detection and isolation of sensor faults can prevent serious damages and irreparable consequences. In this book, remarkable model-based fault diagnosis techniques, such as the Structural Analysis and the Parity Space Approach, are presented and successfully applied to detect and isolate navigation sensor faults in an autonomous navigation robot. The dynamical model of the robot is derived in linear and nonlinear state-space form. Structural analysis is performed on the robot nonlinear model to analyse its structural properties, and thus to provide the set of redundancy relations necessary for fault diagnosis. The required knowledge about weak/strong detectability of sensor faults is obtained applying the Parity Space Approach to the robot linearized model. The effects of the sensor noise are also accounted. In this case, the fault detection reduces to the problem of detecting a change in the mean of a normally distributed random sequence. FDI applications on multi-sensor navigation systems are also provided. 172 pp. Englisch.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2014

    3659384771 / 9783659384776

    • Softcover
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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fault Detection and Isolation (FDI) methods that monitor the navigation system for sensor faults in real-time, can contribute significantly to improve system reliability. Quick detection and isolation of sensor faults can prevent serious damages and irreparable consequences. In this book, remarkable model-based fault diagnosis techniques, such as the Structural Analysis and the Parity Space Approach, are presented and successfully applied to detect and isolate navigation sensor faults in an autonomous navigation robot. The dynamical model of the robot is derived in linear and nonlinear state-space form. Structural analysis is performed on the robot nonlinear model to analyse its structural properties, and thus to provide the set of redundancy relations necessary for fault diagnosis. The required knowledge about weak/strong detectability of sensor faults is obtained applying the Parity Space Approach to the robot linearized model. The effects of the sensor noise are also accounted. In this case, the fault detection reduces to the problem of detecting a change in the mean of a normally distributed random sequence. FDI applications on multi-sensor navigation systems are also provided.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing Apr 2014, 2014

    3659384771 / 9783659384776

    • Softcover
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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Fault Detection and Isolation (FDI) methods that monitor the navigation system for sensor faults in real-time, can contribute significantly to improve system reliability. Quick detection and isolation of sensor faults can prevent serious damages and irreparable consequences. In this book, remarkable model-based fault diagnosis techniques, such as the Structural Analysis and the Parity Space Approach, are presented and successfully applied to detect and isolate navigation sensor faults in an autonomous navigation robot. The dynamical model of the robot is derived in linear and nonlinear state-space form. Structural analysis is performed on the robot nonlinear model to analyse its structural properties, and thus to provide the set of redundancy relations necessary for fault diagnosis. The required knowledge about weak/strong detectability of sensor faults is obtained applying the Parity Space Approach to the robot linearized model. The effects of the sensor noise are also accounted. In this case, the fault detection reduces to the problem of detecting a change in the mean of a normally distributed random sequence. FDI applications on multi-sensor navigation systems are also provided.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 172 pp. Englisch.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2014

    3659384771 / 9783659384776

    • Softcover
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    Seller: preigu, Osnabrück, Germanypreigu

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    Taschenbuch. Condition: Neu. Fault Detection and Isolation for Multi-Sensor Navigation Systems | Model-Based Methods and Applications | Andrea Monteriù | Taschenbuch | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659384776 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …