Development of an ultrasonic weld inspection system based on image processing and neural networks

Barceló, Fernando Roca; Hierro, Pedro Jaén del; Ribes-Llario, Fran; Herráiz, Julia Real

doi:10.1080/10589759.2017.1376056

Cited by 13 publications

(5 citation statements)

References 7 publications

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“…Mataei et al [3] proposed an innovative device for simulating the saturation state of the road surface, taking photos from the drainage process of the road surface, and applying image processing methods to generate appropriate indicators for drainage quality assessment. Barceló et al [4] proposed a new intelligent automatic method based on image processing and neural network for welding detection and analysis. e developed system can accurately detect welding defects and classify them into different categories.…”

Section: Introductionmentioning

confidence: 99%

Distributed Network Image Processing System and Transmission Control Algorithm

Yang

Wang

2021

Security and Communication Networks

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With the increasing use of Internet technologies, image data is spreading more and more on the Internet. Whether it is a social network or a search engine, a large amount of image data is generated. By studying the distributed network image processing system and transmission control algorithm, this paper proposes a more accurate gradient calculation method based on the SIFT algorithm. It is concluded that the performance of the proposed algorithm is slightly better than that of the original algorithm, so the system is implemented. On the basis of reducing the performance of the original algorithm, the dimension of the image features is effectively reduced. By comparing the influence of the image retrieval system in the single-machine environment and the distributed environment on the image feature extraction rate, it is proved that the system uses five distributed nodes to construct the image transmission system that achieves the best results in terms of machine cost and system performance. The random Gaussian orthogonal matrix is analyzed with good stability and performance. The OMP algorithm has good convergence and reconstruction performance. The MH-BCS-SPL reconstruction algorithm works best, and the PSNR decreases very smoothly in the process of increasing the packet loss rate from 0.1 to 0.6. The experimental results show that different orthogonal bases behave differently under different images. Overall, the BCS-SPL series algorithm has greatly improved the reconstruction effect compared with the traditional OMP algorithm.

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Section: Introductionmentioning

confidence: 99%

Distributed Network Image Processing System and Transmission Control Algorithm

Yang

Wang

2021

Security and Communication Networks

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“…¯) for i=1,2, K, N. The objective function (6) is a quadratic convex function and its minimum can be obtained easily by one iteration, see [22,23]. The algorithm 1 shows the FISTA procedure to minimize the cost function (1) with the shrinkage-thresholding operator defined in (6). In algorithms 1 and other introduced algorithms, M is the maximum number of iterations, y 1 and N  are starting point and N dimensional real space, respectively.…”

Section: Four Fista-like Iterative Methodsmentioning

confidence: 99%

“…Algorithm 2 shows the MFISTA procedure for finding the minimizer of the cost function (1). 6 Typically in a two dimensional image with i i i ,…”

Section: Four Fista-like Iterative Methodsmentioning

confidence: 99%

“…Therefore, to improve the contrast of images in defect regions, the image processing methods should be utilized on the foggy radiographs. A reasonable and fast reconstruction algorithm is desirable to reduce the overall computation time [6][7][8]. The fast iterative shrinkage-thresholding Algorithm (FISTA), which is an accelerated version of the sublinearly convergent ISTA method [9,10], is a popular algorithm for minimization the sum of the two of a smooth and a non-smooth convex functions.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of four iterative methods for improving the contrast of the radiography images

2019

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Recently, radiography image elaboration using different image processing methods has been introduced as an alternative to enhance the radiographs. The ability of improving the quality of an image depends on the scattered x-ray and the acquisition data by electronic system in digital radiography (DR) (RT). Iterative methods, well known in general sparse signal reconstruction, can be suited for the radiography images. In this research, the DR image is improved by minimizing an objective function using the fast iterative shrinkage-thresholding algorithm (FISTA), Monotone FISTA (MFISTA), over relaxation MFISTA (OMFISTA) and converged FISTA, where the solution sparsity may be adjusted as desired. The paper surveys four well-known methods for sparse process, and assesses their optimization parameters with the goal of obtaining the best algorithm for industrial radiography images. First, the radiographs from the welded objects were provided and four iterative methods were implemented to the radiographs for enhancing the contrast. Then reconstructed images were assessed on the basis of their quality. The results show that the reconstructed images have better contrast than the original radiography and the OMFISTA method has a lower runtime compared to others. Also, the results demonstrate the viability and efficiency of the four proposed algorithms on radiography image deblurring problems without any information about the noise of radiography system.

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“…(TOFD) is also a type of ultrasonic nondestructive testing technology widely applied for the detection of weld quality due to its safety (no ionizing radiation) and reliability [37], which detects the flaws using a diffraction wave generated by an ultrasonic wave at the end of the flaws. During detection, a pair of probes with the same frequency, angle, and size are placed symmetrically on both sides of the weld, with one as the transmitting probe and the other as the receiving one.…”

Section: Tofd Detection Technology Time Of Flight Diffractionmentioning

confidence: 99%

Applicability Analysis of Inspection and Monitoring Technologies in Wind Turbine Towers

Yue

Tian

Bai

et al. 2021

Shock and Vibration

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Wind turbines are one of the key systems in wind energy development. The wind tower supporting the whole wind turbine is a towering structure, which has been affected by installation, transportation, environment, and other factors. Furthermore, it is prone to experience other quality problems that would be difficult to detect for wind turbine towers. Therefore, the key to maintain the wind tower structure and to ensure the normal operation of a wind turbine is to carry out comprehensive and detailed detection and monitoring studies during its service stage. This paper sorted out several common quality problems including structural damage, deformation, flange bolts loosening, and corrosion of wind tower and relevant research on the detection and monitoring of these quality problems. In addition, some nondestructive testing technologies are introduced, including the ultrasonic phased array, time of flight diffraction, magnetic memory, acoustic emission, fiber Bragg grating and piezoelectric impedance, and applications in wind turbine towers.

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Development of an ultrasonic weld inspection system based on image processing and neural networks

Cited by 13 publications

References 7 publications

Distributed Network Image Processing System and Transmission Control Algorithm

Distributed Network Image Processing System and Transmission Control Algorithm

Comparison of four iterative methods for improving the contrast of the radiography images

Applicability Analysis of Inspection and Monitoring Technologies in Wind Turbine Towers

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