Information processing for aerospace structural health monitoring
Information processing for aerospace structural health monitoring
- Neue Suche nach: Lichtenwalner, P.F.
- Neue Suche nach: White, E.V.
- Neue Suche nach: Baumann, E.W.
- Neue Suche nach: Lichtenwalner, P.F.
- Neue Suche nach: White, E.V.
- Neue Suche nach: Baumann, E.W.
This paper provides a description of the key types of information processing technologies required in an effective structural health monitoring (SHM) system. These include artificial intelligence techniques such as neural networks, expert systems, and fuzzy logic for nonlinear modeling, pattern recognition, and complex decision making; signal processing techniques such as Fourier and wavelet transforms for spectral analysis and feature extraction; statistical algorithms for optimal detection, estimation, prediction, and fusion; and a wide variety of other algorithms for data analysis and visualization. The intent of this paper is to provide an overview of the role of information processing for SHM, discuss various technologies which can contribute to accomplishing this role, and present some example applications of information processing for SHM implemented at the Boeing Company.
Dokumentinformationen
Information processing for aerospace structural health monitoring
1998
12 Seiten, 38 Quellen
Aufsatz (Konferenz)
Englisch
Bayes-Verfahren , diagnostisches Expertensystem , schnelle Fourier-Transformation , Merkmalextraktionsverfahren , Fuzzy-Logik , intelligenter Sensor , neuronales Netz , Spektralanalyse , Zustandsschätzung , Übertragungsfunktion , Datenverarbeitung , Expertensystem , Bilderkennung , Fourier-Transformation , Schätzung , Vorhersage , elektronische Datenverarbeitung , Kalman-Filter , Raumfahrt , adaptive Signalverarbeitung , Datenvisualisierung , Wavelet-Transformation , ARMA-Verfahren , Multisensorfusion , Kosteneffektivität
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