Data recovering techniques for superconducting quantum interference device and its application to nondestructive evaluation

Kojima, F.; Kasai, N.
May 2000
AIP Conference Proceedings;2000, Vol. 509 Issue 1, p1955
Academic Journal
Recently interest has grown for assessing the structural integrity of materials using superconducting quantum interference device (SQUID). SQUIDs involve an extremely high magnetic flux sensitivity and, as a result, magnetic imaging techniques using SQUIDs have a high spatial resolution. However, due to the high magnetic sensitivity of SQUIDs measurement data are heavily corrupted by various kinds of noise in environmental circumstance. SQUID gradiometer could be expected to be a tough measurement technique for overcoming environmental noise. In this paper, an effective computational method is proposed for recovering data by the data acquisition of SQUID gradiometer. A mathematical model of the recovering process is described by an integro-differential equation in a two dimensional spatial domain. The inversion technique proposed here is formulated as a minimization of the regularized least square problem. A computational algorithm of finding an optimal solution is described by using the finite difference scheme. The proposed scheme is applied to the nondestructive testing for detecting cracks in conductor. The effectiveness and validity of the proposed method are demonstrated through computational experiments with laboratory data. © 2000 American Institute of Physics.


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