Damage Assessment of Structures VI: Volumes 293-294 (Key Engineering Materials) - Tapa blanda

 
9780878499762: Damage Assessment of Structures VI: Volumes 293-294 (Key Engineering Materials)

Sinopsis

Volume is indexed by Thomson Reuters CPCI-S (WoS).
The study of damage evolution, location and characterisation is an important aspect of the growing area of SHM and is a major theme of the conference. The link between SHM and machine condition-monitoring is emphasised by the substantial contribution, to the proceedings, which concerns the application of damage assessment techniques to rotating machines. In order to analyse efficiently the data–rich information, provided by monitoring and NDE techniques, it is necessary to use advanced signal processing procedures. A significant proportion of the conference is therefore dedicated to signal processing and computational methods.

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Reseña del editor

The study of damage evolution, location and characterisation is an important aspect of the growing area of SHM, and is a major theme of the conference. The link between SHM and machine condition-monitoring is emphasised by the substantial contribution, to the proceedings, which concerns the application of damage assessment techniques to rotating machines. In order to analyse efficiently the data - rich information, provided by monitoring and NDE techniques, it is necessary to use advanced signal processing procedures. A significant proportion of the conference is therefore dedicated to signal processing and computational methods. The book covers all activities which are relevant to the damage assessment of engineering structures and systems: including signal processing of sensor measurements and analytical techniques, as well as experimental case studies. Among the topics covered are: Damage assessment; Advanced methods of NDT; Recent advances in signal processing and algorithms; Structural integrity; Damage mechanisms; Fatigue damage; Damage location and quantification; Sensors and measurement strategies; Intelligent materials; Knowledge - based systems; Condition monitoring; Biomedical damage detection and analysis; and Case studies.

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