This book presents a non-destructive automated damage detection system for the Armored Vehicle Launched Bridge. The goal of the system is to automate the damage detection procedure and enable early detection of structural damage. The book covers both practical design issues and new theoretical developments in the area of non-destructive damage detection using strain energy mode shapes. Provided is a detailed description of the bridge testing in sinusoidal dwell and random burst modes of operation. The book also covers traditional and a novel non-baseline variation of the strain energy method. Also described is a fuzzy expert system that detects and localizes damage on noisy data. Investigated theoretical issues present new developments in the area of damage detection using strain energy mode shapes. An analytical study of the numerical properties of the strain energy processing allows proper selection of the sampling interval during acquisition of the displacement mode shapes, minimizing the effects of measurement noise and providing maximum sensitivity to damage, while improving the accuracy of damage location.
"Sinopsis" puede pertenecer a otra edición de este libro.
This book presents a non-destructive automated damage detection system for the Armored Vehicle Launched Bridge. The goal of the system is to automate the damage detection procedure and enable early detection of structural damage. The book covers both practical design issues and new theoretical developments in the area of non-destructive damage detection using strain energy mode shapes. Provided is a detailed description of the bridge testing in sinusoidal dwell and random burst modes of operation. The book also covers traditional and a novel non-baseline variation of the strain energy method. Also described is a fuzzy expert system that detects and localizes damage on noisy data. Investigated theoretical issues present new developments in the area of damage detection using strain energy mode shapes. An analytical study of the numerical properties of the strain energy processing allows proper selection of the sampling interval during acquisition of the displacement mode shapes, minimizing the effects of measurement noise and providing maximum sensitivity to damage, while improving the accuracy of damage location.
Edward Sazonov is an Associate Professor in the department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY and the head of the Laboratory of Ambient and Wearable Devices. His research interests are focused on wireless, ambient and wearable devices including self-powered sensors for structural health monitoring of bridges.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a non-destructive automated damage detection system for the Armored Vehicle Launched Bridge. The goal of the system is to automate the damage detection procedure and enable early detection of structural damage. The book covers both practical design issues and new theoretical developments in the area of non-destructive damage detection using strain energy mode shapes. Provided is a detailed description of the bridge testing in sinusoidal dwell and random burst modes of operation. The book also covers traditional and a novel non-baseline variation of the strain energy method. Also described is a fuzzy expert system that detects and localizes damage on noisy data. Investigated theoretical issues present new developments in the area of damage detection using strain energy mode shapes. An analytical study of the numerical properties of the strain energy processing allows proper selection of the sampling interval during acquisition of the displacement mode shapes, minimizing the effects of measurement noise and providing maximum sensitivity to damage, while improving the accuracy of damage location. 208 pp. Englisch. Nº de ref. del artículo: 9783838323893
Cantidad disponible: 2 disponibles
Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sazonov EdwardEdward Sazonov is an Associate Professor in the department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY and the head of the Laboratory of Ambient and Wearable Devices. His research interests . Nº de ref. del artículo: 5413041
Cantidad disponible: Más de 20 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a non-destructive automated damage detection system for the Armored Vehicle Launched Bridge. The goal of the system is to automate the damage detection procedure and enable early detection of structural damage. The book covers both practical design issues and new theoretical developments in the area of non-destructive damage detection using strain energy mode shapes. Provided is a detailed description of the bridge testing in sinusoidal dwell and random burst modes of operation. The book also covers traditional and a novel non-baseline variation of the strain energy method. Also described is a fuzzy expert system that detects and localizes damage on noisy data. Investigated theoretical issues present new developments in the area of damage detection using strain energy mode shapes. An analytical study of the numerical properties of the strain energy processing allows proper selection of the sampling interval during acquisition of the displacement mode shapes, minimizing the effects of measurement noise and providing maximum sensitivity to damage, while improving the accuracy of damage location. Nº de ref. del artículo: 9783838323893
Cantidad disponible: 1 disponibles
Librería: Books Puddle, Woodside, NY, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 26357481453
Cantidad disponible: 4 disponibles
Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. AUTOMATED DAMAGE DETECTION | A computerized damage detection system for Armoured Vehicle Launched Bridge | Edward Sazonov | Taschenbuch | 208 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838323893 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Nº de ref. del artículo: 101429816
Cantidad disponible: 5 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand. Nº de ref. del artículo: 356058162
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18357481447
Cantidad disponible: 4 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a non-destructive automated damage detection system for the Armored Vehicle Launched Bridge. The goal of the system is to automate the damage detection procedure and enable early detection of structural damage. The book covers both practical design issues and new theoretical developments in the area of non-destructive damage detection using strain energy mode shapes. Provided is a detailed description of the bridge testing in sinusoidal dwell and random burst modes of operation. The book also covers traditional and a novel non-baseline variation of the strain energy method. Also described is a fuzzy expert system that detects and localizes damage on noisy data. Investigated theoretical issues present new developments in the area of damage detection using strain energy mode shapes. An analytical study of the numerical properties of the strain energy processing allows proper selection of the sampling interval during acquisition of the displacement mode shapes, minimizing the effects of measurement noise and providing maximum sensitivity to damage, while improving the accuracy of damage location.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 208 pp. Englisch. Nº de ref. del artículo: 9783838323893
Cantidad disponible: 1 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 208 pages. 8.66x5.91x0.47 inches. In Stock. Nº de ref. del artículo: 3838323890
Cantidad disponible: 1 disponibles