Vibration Based Damage Assessment of a Cantilever using a Neural Network

Poul Henning Kirkegaard, A. Rytter

    Research output: Book/ReportReportResearch

    206 Downloads (Pure)

    Abstract

    In this paper the possibility of using a Multilayer Perceptron (MLP) network trained with with the Backpropagation Algorithm as a non-destructive damage assessment technique to locate and quantify a damage in structures is investigated.
    Original languageEnglish
    Place of PublicationAalborg
    PublisherDept. of Building Technology and Structural Engineering, Aalborg University
    Number of pages6
    Publication statusPublished - 1993
    SeriesFracture and Dynamics
    Number50
    VolumeR9345
    ISSN0902-7513

    Fingerprint

    Backpropagation algorithms
    Multilayer neural networks
    Neural networks

    Bibliographical note

    Presented at the 10th International Conference on Experimental Mechanics in Lisbon, July 18-22, 1994

    PDF for print: 12 pp.

    Keywords

    • System Identification
    • Damage Detection
    • Civil Engineering Application
    • Neural Network

    Cite this

    Kirkegaard, P. H., & Rytter, A. (1993). Vibration Based Damage Assessment of a Cantilever using a Neural Network. Aalborg: Dept. of Building Technology and Structural Engineering, Aalborg University. Fracture and Dynamics, No. 50, Vol.. R9345
    Kirkegaard, Poul Henning ; Rytter, A. / Vibration Based Damage Assessment of a Cantilever using a Neural Network. Aalborg : Dept. of Building Technology and Structural Engineering, Aalborg University, 1993. 6 p. (Fracture and Dynamics; No. 50, Vol. R9345).
    @book{0aa64700a86a11da8341000ea68e967b,
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    abstract = "In this paper the possibility of using a Multilayer Perceptron (MLP) network trained with with the Backpropagation Algorithm as a non-destructive damage assessment technique to locate and quantify a damage in structures is investigated.",
    keywords = "System Identification, Damage Detection, Civil Engineering Application, Neural Network, System Identification, Damage Detection, Civil Engineering Application, Neural Network",
    author = "Kirkegaard, {Poul Henning} and A. Rytter",
    note = "Presented at the 10th International Conference on Experimental Mechanics in Lisbon, July 18-22, 1994 PDF for print: 12 pp.",
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    Kirkegaard, PH & Rytter, A 1993, Vibration Based Damage Assessment of a Cantilever using a Neural Network. Fracture and Dynamics, no. 50, vol. R9345, Dept. of Building Technology and Structural Engineering, Aalborg University, Aalborg.

    Vibration Based Damage Assessment of a Cantilever using a Neural Network. / Kirkegaard, Poul Henning; Rytter, A.

    Aalborg : Dept. of Building Technology and Structural Engineering, Aalborg University, 1993. 6 p. (Fracture and Dynamics; No. 50, Vol. R9345).

    Research output: Book/ReportReportResearch

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    T1 - Vibration Based Damage Assessment of a Cantilever using a Neural Network

    AU - Kirkegaard, Poul Henning

    AU - Rytter, A.

    N1 - Presented at the 10th International Conference on Experimental Mechanics in Lisbon, July 18-22, 1994 PDF for print: 12 pp.

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    AB - In this paper the possibility of using a Multilayer Perceptron (MLP) network trained with with the Backpropagation Algorithm as a non-destructive damage assessment technique to locate and quantify a damage in structures is investigated.

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    KW - Neural Network

    KW - System Identification

    KW - Damage Detection

    KW - Civil Engineering Application

    KW - Neural Network

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    Kirkegaard PH, Rytter A. Vibration Based Damage Assessment of a Cantilever using a Neural Network. Aalborg: Dept. of Building Technology and Structural Engineering, Aalborg University, 1993. 6 p. (Fracture and Dynamics; No. 50, Vol. R9345).