Items related to Fault Detection and Isolation for Multi-Sensor Navigation...
Fault Detection and Isolation for Multi-Sensor Navigation Systems: Model-Based Methods and Applications - Softcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
Andrea Monterił received the Laurea Degree summa cum laude in Electronic Engineering and the Ph.D. degree in Artificial Intelligence Systems from the Universitą Politecnica delle Marche, Ancona, Italy, in 2003 and 2006, respectively. His MSc thesis has been developed with prof. Mogens Blanke to the Technical University of Denmark, Lyngby, Denmark.
"About this title" may belong to another edition of this title.
Search results for Fault Detection and Isolation for Multi-Sensor Navigation...
Stock Image
Fault Detection and Isolation for Multi-Sensor Navigation Systems
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659384771
ISBN 13: 9783659384776
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. 172. Seller Inventory # 26128045731
Stock Image
Fault Detection and Isolation for Multi-Sensor Navigation Systems
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659384771
ISBN 13: 9783659384776
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
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. Seller Inventory # 131493244
Buy New
£ 71.58
£ 6.50 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 4 available
Seller Image
Fault Detection and Isolation for Multi-Sensor Navigation Systems
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659384771
ISBN 13: 9783659384776
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 514083084
Buy New
£ 38.75
£ 42.01 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Stock Image
Fault Detection and Isolation for Multi-Sensor Navigation Systems
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659384771
ISBN 13: 9783659384776
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. PRINT ON DEMAND pp. 172. Seller Inventory # 18128045737
Seller Image
Fault Detection and Isolation for Multi-Sensor Navigation Systems
Published by
LAP LAMBERT Academic Publishing Apr 2014, 2014
ISBN 10: 3659384771
ISBN 13: 9783659384776
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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. Seller Inventory # 9783659384776
Seller Image
Fault Detection and Isolation for Multi-Sensor Navigation Systems : Model-Based Methods and Applications
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659384771
ISBN 13: 9783659384776
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
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. Seller Inventory # 9783659384776
Seller Image
Fault Detection and Isolation for Multi-Sensor Navigation Systems
Published by
LAP LAMBERT Academic Publishing Apr 2014, 2014
ISBN 10: 3659384771
ISBN 13: 9783659384776
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
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. Seller Inventory # 9783659384776
Seller Image
Fault Detection and Isolation for Multi-Sensor Navigation Systems | Model-Based Methods and Applications
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659384771
ISBN 13: 9783659384776
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Fault Detection and Isolation for Multi-Sensor Navigation Systems | Model-Based Methods and Applications | Andrea Monterił | 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. Seller Inventory # 120672847