280 research outputs found

    IN-service inspection and on-line monitoring of inaccessible components in nuclear power plants using guided wave technology

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    One of the most challenging problems in the on-line monitoring of critical parameters of nuclear plants is the inspection of components that result inaccessible or difficult to reach. In this context, there is an increasing interest of the scientific community and industry for the use of Ultrasonic Guided Waves (UGW) for addressing this issue. In this work, the problem of the applicability of the UGW technique with magnetostrictive sensors to NPP structures is described, together with the outline of the related advantages as well as the main technical concerns that may arise from such applications. This methodology has been tested on experimental activities concerning high temperature applications. Results show the effectiveness of such an approach

    Classification of defects for guided waves inspected pipes by a neural network approach

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    In this paper the effectiveness of a procedure that allows the flaws characterization of pipes inspected by a long range guided waves is investigated. The method performs the extraction of correlation coefficients between the x, y, z components of the displacement of simulated guided waves reflected by defects on pipes. These features feed a neural network classifier which evaluates the dimensions of well defined geometry defects on the pipe under test. The results show lower error rates in the evaluation of both angular and axial extent of a defect. © 2007 IEEE
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