Detection and characterization of the material loss due to corrosion in aircraft fuselage joints plays an important role in life management of aging aircraft. Pulsed eddy current has been shown to effectively characterize hidden corrosion in lap splices. However, variation of the probe lift-off and interlayer gap can cause false indications or inaccuracy in quantification. This paper presents the results of a project concerned with the development of a technique for automatic material loss characterization based on pulsed eddy current data. The goal of the project was to develop a software tool that would facilitate distinguishing of material loss in multi-layer structures from effects such as probe lift-off and interlayer gap. Following on from previous work addressing the capabilities of time-frequency analysis of pulsed eddy current signals to provide specific visual patterns that can be related to the interlayer gap, lift-off, and material loss, the authors have investigated this method along with an intelligent system to automatically characterize and determine the location of material loss in a two-layer structure. The application of joint time-frequency analysis and pattern recognition to pulsed eddy current signals provide an automatic defect classification system and expand the role of pulsed eddy current technique in the characterization of hidden corrosion in multi-layer lap splice specimens. The performance of the proposed system has been demonstrated using a two-layer specimen with milled regions to simulate hidden corrosion in lap splice. The results demonstrate the potential of the proposed method for automatic characterization and classification of material loss in multi-layer structures.


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    Title :

    Automatic classification and characterization of hidden corrosion using pulsed eddy current data


    Additional title:

    Automatische Klassifizierung und Charakterisierung von versteckter Korrosion mittels Impuls-Wirbelstromdaten


    Contributors:
    Safizadeh, M.S. (author) / Liu, Z. (author) / Forsyth, D.S. (author) / Fahr, A. (author)


    Publication date :

    2004


    Size :

    7 Seiten, 5 Bilder, 2 Tabellen, 6 Quellen


    Remarks:

    (Nicht paginiert)


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




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