Digital radiography for the inspection of weld seams of pipelines – better sensitivity

Moreira, Edson Vasques; Simõesa, Heleno Ribeiro; Rabello, José Maurício Barbosa; Camargo, José Rubens de; Pereira, Marcelo dos Santos

doi:10.1080/09507110902844022

Cited by 5 publications

(3 citation statements)

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“…The interpretation of the radiographic film can be done automatically or by a skilled operator. The automatic weld defect detection in radio- graphy images has been studied by several researchers using various techniques and approaches [4][5][6][7][8][9][10][11]. Recently, Kasban et al [12,13] used Cepstral approaches depending on extracting the features from the transform domains or from the power density related to the images.…”

Section: Introductionmentioning

confidence: 99%

Higher-Order Statistics for Automatic Weld Defect Detection

Saber¹,

Selim²

2013

JSEA

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Image processing and image analysis are the main aspects for obtaining information from digital image owing to the fact that this techniques give the desired details in most of the applications generally and Non-Destructive testing specifically. This paper presents a proposed method for the automatic detection of weld defects in radiographic images. Firstly, the radiographic images were enhanced using adaptive histogram equalization and are filtered using mean and wiener filters. Secondly, the welding area is selected from the radiography image. Thirdly, the Cepstral features are extracted from the Higher-Order Spectra (Bispectrum and Trispectrum). Finally, neural networks are used for feature matching. The proposed method is tested using 100 radiographic images in the presence of noise and image blurring. Results show that in spite of time consumption, the proposed method yields best results for the automatic detection of weld defects in radiography images when the features were extracted from the Trispectrum of the image.

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Section: Introductionmentioning

confidence: 99%

Higher-Order Statistics for Automatic Weld Defect Detection

Saber¹,

Selim²

2013

JSEA

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“…Among the current options, the digital detector array, DDA, Varian 2520V, 127 μm, employed in this paper is considered one of the best solutions to use online in plants that produces pieces in series and for obtaining digital images in place of films and reducing the inspection cycle time thanks to its high degree of automation [2].…”

Section: Introductionmentioning

confidence: 99%

Digital Radiography Using Digital Detector Arrays Fulfills Critical Applications for Offshore Pipelines

Moreira

Rabello

Pereira³

et al. 2010

EURASIP J. Adv. Signal Process.

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Digital radiography in the inspection of welded pipes to be installed under deep water offshore gas and oil pipelines, like a presalt in Brazil, in the paper has been investigated. The aim is to use digital radiography for nondestructive testing of welds as it is already in use in the medical, aerospace, security, automotive, and petrochemical sectors. Among the current options, the DDA (Digital Detector Array) is considered as one of the best solutions to replace industrial films, as well as to increase the sensitivity to reduce the inspection cycle time. This paper shows the results of this new technique, comparing it to radiography with industrial films systems. In this paper, 20 test specimens of longitudinal welded pipe joints, specially prepared with artificial defects like cracks, lack of fusion, lack of penetration, and porosities and slag inclusions with varying dimensions and in 06 different base metal wall thicknesses, were tested and a comparison of the techniques was made. These experiments verified the purposed rules for parameter definitions and selections to control the required digital radiographic image quality as described in the draft international standard ISO/DIS 10893-7. This draft is first standard establishing the parameters for digital radiography on weld seam of welded steel pipes for pressure purposes to be used on gas and oil pipelines.

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“…[1,2], and many researcher are used, worked, explored or simulated the principle of radiographic testing methods with different ways [3][4][5][6][7][8][9][10]. In Nondestructive Testing (NDT), radiography is one of the most important and widely used methods [1, 2, and 3].…”

Section: Introductionmentioning

confidence: 99%

Simulate and Study the Effect of Compton Scattering Angle on the Radiography Inspection

Al-Alawy

Kadhim

Ahmed³

2016

ILCPA

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ABSTRACT. Radiography inspection have been used in this work to detects and image the corrosion in the outside surface of the pipe. Gamma ray with 0.662 MeV from 127 Cs source have been chosen for this inspection while NaI(Tl) detector is use to detect and collect the scatter photons with radius 6cm. A simulation follow the history of photon by using Fortran Language and concerned on the effect of Compton scattering angle on the count rate of scatter photons and on the quality of the image. The Compton scattering angles that study are in the range from (90-100) to (170-180) with step 10. The results show that the greater count rate of scattered photons is improved in the angle range (90-100). Therefore, the count rate decreases with increasing the angle range especially within the range (170-180) which has a minimum count rate and affect on the image resolution, then it could not distinguish between the corrosion and non-corrosion region.

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Digital radiography for the inspection of weld seams of pipelines – better sensitivity

Cited by 5 publications

References 0 publications

Higher-Order Statistics for Automatic Weld Defect Detection

Higher-Order Statistics for Automatic Weld Defect Detection

Digital Radiography Using Digital Detector Arrays Fulfills Critical Applications for Offshore Pipelines

Simulate and Study the Effect of Compton Scattering Angle on the Radiography Inspection

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