Research on the Application of Wavelet Entropy Theory in Detecting Metal Magnetic Memory

Ying Qiang Wang; Ji Ping Xu; Yan Shi; Xiao Yi Wang; Jia Bin Yu; Yang Liu

doi:10.4028/www.scientific.net/AMM.401-403.1212

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Research on the Application of Wavelet Entropy...

Research on the Application of Wavelet Entropy Theory in Detecting Metal Magnetic Memory

Abstract:

A recognition method based on metal magnetic memory and wavelet entropy theory is proposed to detect cracks in metal workpiece. First, wavelet decomposition is performed to magnetic induction signal, and wavelet entropy is introduced based on soft threshold in wavelet transform to reflect the distribution feature of signal energy. Then the threshold of high-frequency component is determined self-adaptively due to different wavelet entropies of the signal at different decomposition scales, thus extracting useful information effectively and determining the position of the defect. Experiment result shows that the crack could be pinpointed based on characteristics from wavelet entropy theory, thus having an excellent application prospect in the life evaluation of metal defect.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

1212-1217

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.1212

Citation:

Cite this paper

Online since:

September 2013

Authors:

Ying Qiang Wang, Ji Ping Xu, Yan Shi, Xiao Yi Wang, Jia Bin Yu, Yang Liu

Keywords:

Defect, Information Entropy, Wavelet Transform (WT), Workpiece

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