Article
Radiology, Nuclear Medicine & Medical Imaging
Hyoung Nam Lee, Dongho Hyun, Woong Hee Lee, Jun Gon Kim, Hyun-Joo Kim
Summary: The feasibility and safety of a modified surgical drain-guided percutaneous catheter drainage technique for postoperative fluid collection in inaccessible locations was investigated. The results showed a high technical success rate and clinical success rate, with no procedure-related or catheter-related adverse events observed.
JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY
(2022)
Article
Multidisciplinary Sciences
Jie Zhang, Xudong Niu, Anthony J. Croxford, Bruce W. Drinkwater
Summary: This paper explores possible strategies for continuous non-destructive monitoring of large-scale structures using a collection of inspection robots. The robots use guided ultrasonic waves to detect and locate defects. Monte Carlo simulations reveal the compromise between the number of robots and defect location accuracy.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2022)
Article
Materials Science, Characterization & Testing
Jie Zhang, Xudong Niu, Anthony J. Croxford, Bruce W. Drinkwater
Summary: In this paper, an approach for inspecting pipelines using multiple robots or a single robot with high resolution acoustical sensors is proposed. The approach is demonstrated through the successful inspection of defects on a steel pipe using guided acoustic wave sensors. The approach consists of two stages: defect detection and localization. The detection stage defines a detection amplitude threshold and a detection zone for a single sensor, while the localization stage uses further measurements to locate the defects within the detection zone.
NDT & E INTERNATIONAL
(2023)
Article
Engineering, Multidisciplinary
Yue Hu, Yanping Zhu, Fangsen Cui, Jing Xiao, Shuai Cao, Fucai Li, Wenjie Bao
Summary: An adaptive method based on complex Bayesian group Lasso is proposed for defect localization, which does not require priori information and achieves good imaging performance by repeatedly tuning the regularization parameter.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Wensong Wang, Quqin Sun, Zhenyu Zhao, Xin Sun, Feng Qin, Kevin Kho, Yuanjin Zheng
Summary: This study combines air-coupled ultrasonic transducer (AUT) and laser-induced ultrasonic guided wave to detect rail foot corrosion. The corrosion sensitivity of the guided wave below 500 kHz is examined, and an end-to-end deep learning model achieves a detection accuracy of 99.5% based on 200-kHz air-coupled ultrasonic signals.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Chemistry, Analytical
Junwang Ma, Zhifeng Tang, Fuzai Lv, Changqun Yang, Weixu Liu, Yinfei Zheng, Yang Zheng
Summary: This paper proposes a high-sensitivity monitoring algorithm based on adaptive principal component analysis for detecting defects in different types of pipes, providing an effective method to identify small defects. The damage index curve obtained by the algorithm clearly shows the trend of defects, and the contribution rate of the K index roughly indicates the location of the defects.
Article
Engineering, Multidisciplinary
Olisa C. Samuel, Andrew Starr, Khan A. Muhammad
Summary: This work investigates the monitoring of debris-filled damage evolution in structures using pre-modulated wave and guided wave ultrasonic testing. Structural responses in varying percentages of debris-filled damage were analyzed using FFT, HT, and correlation techniques, resulting in empirical predictive models with average percentage errors of 1.34% and 0.21% for detecting the damage and percentage of debris, respectively. The intensity of the lower sideband was found to be more sensitive to damage variations than the upper sideband, and the transmission power efficiency of modulation sidebands increased proportionally with debris-filled damage percentage, serving as a damage index.
Article
Materials Science, Characterization & Testing
Chaolong Xue, Jiaqi Wang, Zhiyuan Zhang, Yunfei Zhang, Sijia Zuo, Bing Li
Summary: This paper investigates the propagation of guided waves, particularly Lamb waves, in plate-like structures with variable thicknesses. The characteristics of Lamb modes and SH0 mode in variable thickness plates are compared, and the non-dispersive property of the SH0 mode is demonstrated. Experimental results validate the effectiveness of the SH0 mode for defect localization in such structures.
NDT & E INTERNATIONAL
(2023)
Article
Engineering, Electrical & Electronic
Yong Chang, Nana Li, Jiyuan Zhao, Yu Wang, Zhe Yang
Summary: This article proposes a new defect detection method for contact wire based on ultrasonic guided wave. The experimental results demonstrate its advantages in position information extraction and time resolution.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Multidisciplinary
Stefano Mariani, Peter Cawley
Summary: By adjusting guided wave signals using the newly developed location-specific temperature compensation method or the widely used optimal baseline selection technique, the defect detection performance can be significantly improved, reliably detecting damages as small as 0.1% cross section loss.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Review
Medicine, General & Internal
Julio Iglesias-Garcia, Daniel de la Iglesia-garcia, Jose Larino-Noia, Juan Enrique Dominguez-Munoz
Summary: Endoscopic ultrasound (EUS) is an essential technique for managing various diseases, and EUS-guided elastography has emerged as one of the most recognized methods for evaluating tissue stiffness in real-time. This technology has shown high accuracy in differentiating benign from malignant lesions, particularly in the pancreas and lymph nodes. It has well-established indications in the management of pancreatic diseases and characterization of different diseases, with potential new indications in the future. This review discusses the theoretical basis of EUS-guided elastography and the scientific evidence supporting its use.
Article
Engineering, Multidisciplinary
Yongjun Yang, Jiankang Zhong, Aisong Qin, Hanling Mao, Hanying Mao, Zhengfeng Huang, Xinxin Li, Yongchuan Lin
Summary: This paper proposes a group sparse tunable Q-factor wavelet transform (GS-TQWT) model for defect detection of long weld using ultrasonic guided wave (UGW). The model is able to extract defect echo features in the presence of dispersion, multi-mode, background noise, and structural noise. Simulation and experimental results verify the effectiveness of the GS-TQWT model for UGW weld defect detection.
Article
Automation & Control Systems
Vignesh Sampath, Inaki Maurtua, Juan Jose Aguilar Martin, Andoni Rivera, Jorge Molina, Aitor Gutierrez
Summary: This article presents a method for improving the generalization ability of surface defect identification tasks by exploiting auxiliary information beyond the primary labels. By jointly learning features of pixel-level segmentation masks, object-level bounding boxes, and global image-level classification labels, the proposed method significantly improves the performance of state-of-the-art models. Experimental results show an overall accuracy of 97.1%, a Dice score of 0.926, and a mean average precision of 0.762 on defect classification, segmentation, and detection tasks.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Construction & Building Technology
Jinhang Wu, Ching Tai Ng, Han Fang
Summary: This paper assesses the capability of ultrasonic guided wave (GW) technique in detecting different sizes of internal damages in structural timber, and the robustness of the technique is demonstrated through experimental and numerical studies.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Acoustics
Jacqueline Roots, Gabriel S. Trajano, Christopher Drovandi, Davide Fontanarosa
Summary: This study assessed the application of wave elastography in muscle stiffness assessment and compared the measurement results of two different devices. The study found significant differences in stiffness variability among different muscle regions, with the 75% location having the lowest variability and highest agreement, suggesting its use in future stiffness assessments.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2023)
Article
Materials Science, Characterization & Testing
Bin Ma, Qingzhao Kong, Yewei Ding, Lin Chen, Weihang Gao
Summary: This study proposes an end-to-end damage detection framework that integrates emphasized channel attention, propagation, and aggregation-time-delay neural network (ECAPA-TDNN) with percussion techniques. The framework effectively detects internal damage within timber structures and distinguishes between different sizes of damage.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Zhiyuan Zhao, Lishuai Liu, Wen Liu, Da Teng, Yanxun Xiang, Fu-Zhen Xuan
Summary: The total focusing method (TFM) is a standard technique in ultrasonic phased array imaging and plays a crucial role in industrial non-destructive testing (NDT). This paper presents an improved TFM approach by formulating its imaging principle as a Boolean matrix and establishing a discretized tensor-based model. By employing sparse regularization strategy and a non-negative constraint solution algorithm, the proposed approach demonstrates superior capabilities in defect characterization and noise suppression compared to the traditional TFM.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Dongsoo Lee, Jung-Doung Yu, Seokgyu Jeong, Geunwoo Park, Jong-Sub Lee
Summary: This study suggests a more accurate method for evaluating the integrity of drilled shafts using electromagnetic waves propagating through transmission lines. The experimental results show that the location and size of sound and defect segments can be more clearly identified with the use of connectors on the transmission line.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Lu-Nan Dai, Chen-Yin Ni, Kai-Ning Ying, Ling Yuan, Zhi Yang, Wei-Wei Kan, Zhong-Hua Shen
Summary: A laser ultrasonics based frequency domain synthetic aperture focusing technology has been developed for imaging internal horizontal hole defects in bimetallic composites with a diameter of approximately 1.0 mm. The results show that this technology can improve imaging quality and locating capability, with a low testing error.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Guillermo Cosarinsky, Jorge F. Cruza, Mario Munoz, Jorge Camacho
Summary: This study develops an ultrasound imaging method for industrial and structural components, which can automatically detect the surface and estimate the probe position and orientation. By fitting the parametric models based on measured surface echoes, the method achieves the measurement of surface echoes and estimation of probe position and orientation. Validation experiments show that this method can accurately detect defects in the component under different probe positions and orientations.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
L. Gahleitner, G. Thummerer, G. Mayr, G. Mayr, P. Burgholzer, U. Cakmak
Summary: This study presents a one-dimensional photothermal method using the virtual wave concept to estimate subsurface interface parameters and demonstrates its application in layered materials. Experimental results validate the accurate estimation of interfacial parameters for the analyzed samples.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Pengxiang Ji, Yiming Jiang, Ruobing Zhao, Jing Zou
Summary: Computed laminography (CL) is a non-destructive imaging technique for plate-like samples that has challenges in exact reconstruction. Fusion laminography (FL) combines Fourier information from CL and CT to achieve precise reconstruction, showing superiority in artifact removal and edge preservation, particularly for irregular sample structures.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Guangzhi Chen, Odile Abraham, Damien Pageot, Olivier Durand, Mathieu Chekroun, Vincent Tournat
Summary: This paper investigates the application of Nonlinear Coda Wave Interferometry (NCWI) method in evaluating the nonlinear interface areas in highly heterogeneous materials. An experimental protocol is proposed and validated through numerical simulation and experimental results. The findings demonstrate that NCWI can be used to quantitatively analyze the nonlinear interface effects in complex media.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Ronghua Xu, Raul Enrique Beltran-Gutierrez, Max Kaeding, Alexander Lange, Steffen Marx, Joern Ostermann
Summary: This study compares the signal response of four different couplant materials in acoustic emission analysis and ultrasonic testing, and analyzes their impact on the signal response of a piezoelectric sensor. The results indicate that acrylic adhesive pads and hot glue demonstrate more reliable signal transmission in certain frequency ranges, while honey and vaseline perform better in other frequency ranges. Acrylic adhesive pads and honey are considered the preferred couplant materials.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Yong-Ho Kim, Jung-Ryul Lee
Summary: An artificial intelligence system for phased-array ultrasonic testing (PAUT) was developed in this study using a newly configured training dataset and neural network. Three experiments were conducted to verify its performance, showing improved classification accuracy of signals and successful data evaluation, benefiting the PAUT experts.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Shaun Mcknight, S. Gareth Pierce, Ehsan Mohseni, Christopher Mackinnon, Charles Macleod, Tom 'Hare, Charalampos Loukas
Summary: This work proposes four synthetic data generation methods to address the issue of limited training data in Non-Destructive Ultrasonic Testing. Experimental results demonstrate that these methods significantly improve the classification performance of real experimental images.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Xintao Xu, Zhixuan Chang, Eryong Wu, Shiwei Wu, Jian Chen, Keji Yang, Haoran Jin
Summary: This paper proposes a novel nozzle-side inspection method based on the data fusion of multi-view plane wave imaging (PWI) for ultrasonic non-destructive testing of nozzle-to-pipe welds. Experiments demonstrate the capability of sensitivity mappings to optimize the inspection configuration and serve as filters to fuse multi-view images. The proposed method enables accurate defect characterization and detection of slag, cracks, and lack of penetration in nozzle specimens.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Kai Wang, Zechen Luo, Shuang Xu, Wenxin Lai, Ruiqi Guan, Qijian Liu, Menglong Liu, Jing Rao, Xinlin Qing
Summary: In this study, an analytical framework is proposed to interpret the formation of defect-induced LDR in multilayered structures. By analyzing the reflections of Lamb waves at defect boundaries and obtaining the phase shift of reflected waves, the relationship between LDR frequency components and defect size is determined. Experimental validations are performed to improve the precision of defect characterization using LDR.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Shijie Jin, Chengjun Di, Jiakai Su, Siqi Shi, Zhongbing Luo
Summary: This paper proposes a mirrored composite-mode total focusing method (CTFM) for the quantitative detection and profile characterization of priori unknown irregular planar defects. Multiple views and normalization are used to achieve accurate imaging results.
NDT & E INTERNATIONAL
(2024)