Purpose – The paper seeks to propose a specific approach based on Dynamic Analysis and Chaos Theory aiming to emphasize the differences into the eddy current signals obtained by related non-destructive tests, when the inspected specimens have flaws with different shapes. Design/methodology/approach – Non-linear eddy current analysis is very useful for flaw detection in many in-service inspections. State-of-the-art technologies allow one to define position and depth of defects, but the shape identification is still an open problem. In this paper, experimental data have been subjected to a dynamical analysis in order to relate the trend of eddy current signals to the shape of analyzed defect. Findings – In particular, a dynamical reconstruction by means of recurrence plots (RPs) has been carried out in order to detect analogies and differentiations between different eddy current signals. Moreover, cross-correlation between RPs of a reference benchmark and testing eddy current signals has been applied in order to emphasize a different dynamical behaviour and to detect a particular flaw’s shape. In this way, a real-time algorithm for defect shape classification has been performed. Originality/value – Proposed approach is very interesting, and it is an innovation in non-destructive testing procedures. In fact, the shape identification of a flaw is still an open challenge. The proposed approach, based on dynamic analysis, gives the key to solve this particular ill-posed problem, by introducing a relation between the eddy current measurements and the shape of defect existing in the inspected specimen. Very interesting preliminary results have been obtained.

Dynamical Analysis for Flaw Shape Identification in non Linear Eddy Current Tests

MORABITO, Francesco Carlo;VERSACI, Mario
2007

Abstract

Purpose – The paper seeks to propose a specific approach based on Dynamic Analysis and Chaos Theory aiming to emphasize the differences into the eddy current signals obtained by related non-destructive tests, when the inspected specimens have flaws with different shapes. Design/methodology/approach – Non-linear eddy current analysis is very useful for flaw detection in many in-service inspections. State-of-the-art technologies allow one to define position and depth of defects, but the shape identification is still an open problem. In this paper, experimental data have been subjected to a dynamical analysis in order to relate the trend of eddy current signals to the shape of analyzed defect. Findings – In particular, a dynamical reconstruction by means of recurrence plots (RPs) has been carried out in order to detect analogies and differentiations between different eddy current signals. Moreover, cross-correlation between RPs of a reference benchmark and testing eddy current signals has been applied in order to emphasize a different dynamical behaviour and to detect a particular flaw’s shape. In this way, a real-time algorithm for defect shape classification has been performed. Originality/value – Proposed approach is very interesting, and it is an innovation in non-destructive testing procedures. In fact, the shape identification of a flaw is still an open challenge. The proposed approach, based on dynamic analysis, gives the key to solve this particular ill-posed problem, by introducing a relation between the eddy current measurements and the shape of defect existing in the inspected specimen. Very interesting preliminary results have been obtained.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12318/3830
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