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.
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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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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783838323893
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Anbieter: moluna, Greven, Deutschland
Zustand: 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 . Bestandsnummer des Verkäufers 5413041
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Anbieter: Books Puddle, New York, NY, USA
Zustand: New. Bestandsnummer des Verkäufers 26357481453
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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 356058162
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Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 101429816
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Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18357481447
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783838323893
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783838323893
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 208 pages. 8.66x5.91x0.47 inches. In Stock. Bestandsnummer des Verkäufers __3838323890
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