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Present Status of Research on Eddy Current NDT

Zhong Hai-na

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Abstract

In this article, general method of discerning the metal part defect in eddy current NDT is introduced. While discussing the application of signal processing technic, it mainly discusses the principle of wavelet transform, studies its application in eddy current NDT, and also mainly analyses and compares BP and RBF algorithm in artificial neural network, introduces its application in eddy current testing defect. The development and application of eddy current NDT are also discussed.

About this research paper

What this paper is about

In this article, general method of discerning the metal part defect in eddy current NDT is introduced. While discussing the application of signal processing technic, it mainly discusses the principle of wavelet transform, studies its application in eddy current NDT, and also mainly analyses and compares BP and RBF algorithm in artificial neural network, introduces its application in eddy current testing defect. The development and application of eddy current NDT are also discussed.

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Available abstract

In this article, general method of discerning the metal part defect in eddy current NDT is introduced. While discussing the application of signal processing technic, it mainly discusses the principle of wavelet transform, studies its application in eddy current NDT, and also mainly analyses and compares BP and RBF algorithm in artificial neural network, introduces its application in eddy current testing defect. The development and application of eddy current NDT are also discussed.

Key concepts: Nondestructive testing, Eddy current, Eddy-current testing, Wavelet, Engineering, Current (fluid), Artificial neural network, Signal processing

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