Vol. 116
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2023-05-15
EMT Image Reconstruction Based on Composite Sensitivity Matrix and Its Application in Defect Detection of Carbon Fiber Wound Hydrogen Tank
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Progress In Electromagnetics Research M, Vol. 116, 177-191, 2023
Abstract
Carbon fiber wound hydrogen tanks are widely used in the field of new energy, but their complex multilayer structure makes it difficult to conduct nondestructive testing/structural health monitoring (NDT/SHM). In this paper, electromagnetic tomography (EMT) is used for noncontact in situ defect detection on a carbon fiber wound hydrogen tank. According to its structural characteristics, an open U-shaped sensor array that fits the curvature of the tank body is designed. To improve the quality of reconstructed images, an iterative image reconstruction algorithm based on a composite sensitivity matrix (CSM) is proposed. To verify the performance of the method, the method in this paper is compared with linear back projection (LBP), the Landweber iterative algorithm and the Tikhonov regularization algorithm, and the image quality is evaluated by comparing the image relative error and correlation coefficient. Both simulated and experimental results show that the method proposed in this paper is more accurate in defect localization and higher in quality than traditional image reconstruction algorithms.
Citation
Ming Ma, Qiong Zhang, Ronghua Zhang, Shiyu Liu, Yi Wu, and Bailiang Chen, "EMT Image Reconstruction Based on Composite Sensitivity Matrix and Its Application in Defect Detection of Carbon Fiber Wound Hydrogen Tank," Progress In Electromagnetics Research M, Vol. 116, 177-191, 2023.
doi:10.2528/PIERM23022402
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