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Shancheng Tang, Ying Zhang, Zicheng Jin, Jianhui Lu, Heng Li and Jiqing Yang
The number of defect samples on the surface of aluminum profiles is small, and the distribution of abnormal visual features is dispersed, such that the existing supervised detection methods cannot effectively detect undefined defects. At the same time, t...
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Anvar Valeev and Bulat Kharrasov
This paper is devoted to a new approach to condition monitoring. The main feature is an application of strain gauge analysis for geometrical locating of vibrating defects. Information about the exact geometrical location of a defect, intensity of excitat...
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Muhammad, C.W. Lim and Andrew Y. T. Leung
The current century witnessed an overwhelming research interest in phononic crystals (PnCs) and acoustic metamaterials (AMs) research owing to their fantastic properties in manipulating acoustic and elastic waves that are inconceivable from naturally occ...
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Yang Liu, Ke Xu and Jinwu Xu
It is difficult to detect roll marks on hot-rolled steel plates as they have a low contrast in the images. A periodical defect detection method based on a convolutional neural network (CNN) and long short-term memory (LSTM) is proposed to detect periodic...
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J. Jesús Villegas-Saucillo, José Javier Díaz-Carmona, Carlos A. Cerón-Álvarez, Raúl Juárez-Aguirre, Saúl M. Domínguez-Nicolás, Francisco López-Huerta and Agustín L. Herrera-May
Oil and gas pipeline networks require the periodic inspection of their infrastructure, which can cause gas and oil leakage with several damages to the environment and human health. For this, non-destructive testing (NDT) techniques of low-cost and easy i...
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Qiang Fu, Dong Liu, Tianxiao Li, Song Cui, Yuxiang Hu
Pág. 1 - 16
The accurate and reliable prediction of groundwater depth is the basis of the sustainable utilization of regional groundwater resources. However, the complexity of the prediction has been ignored in previous studies of regional groundwater depth system a...
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