Advanced signal processing of magnetic flux leakage data obtained from seamless gas pipeline

Afzal, Muhammad; Удпа, Сатиш С.

doi:10.1016/s0963-8695(02)00024-5

Cited by 134 publications

(48 citation statements)

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“…That means that magnetic flux leaks when defects occur on the pipe's surface. The leakage of magnetic flux can be measured by sensors located inside the pipe [12,20,[54][55][56]. The leakage depends on the physical size of the pipe, the magnetic characteristics of the pipe and nearby materials, the stresses in pipelines, and the shapes and dimensions of the defects.…”

Section: Magnetic Fluxmentioning

confidence: 99%

Water and Wastewater Pipe Nondestructive Evaluation and Health Monitoring: A Review

Rizzo

2010

Advances in Civil Engineering

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pipe networks assure the transportation of primary commodities such as water, oil, and natural gas. The quantitative and early detection of defects in pipes is critical in order to avoid severe consequences. As a result of high-profile accidents and economic downturn, research and development in the area of pipeline inspection has focused mainly on gas and oil pipelines. Due to the low cost of water, the development of nondestructive inspection (NDI) and structural health monitoring (SHM) technologies for fresh water mains and sewers has received the least attention. Moreover, the technical challenges associated with the practical deployment of monitoring system demand synergistic interaction across several disciplines, which may limit the transition from laboratory to real structures. This paper presents an overview of the most used NDI/SHM technologies for freshwater pipes and sewers. The challenges that said infrastructures pose with respect to oil and natural gas pipeline networks will be discussed. Finally, the methodologies that can be translated into SHM approaches are highlighted.

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Section: Magnetic Fluxmentioning

confidence: 99%

Water and Wastewater Pipe Nondestructive Evaluation and Health Monitoring: A Review

Rizzo

2010

Advances in Civil Engineering

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“…Various techniques designed for signal and image processing can be used in this case, e.g. digital filtering, adaptive filtering [6], wavelet analysis [7], etc. The second step consists of detection and classification of signal features that are associated with defects in a pipe wall.…”

Section: Experimental and Analysis Methodsmentioning

confidence: 99%

Inspection of Gas Pipelines Using Magnetic Flux Leakage Technology

Usarek

Warnke²

2017

Advances in Materials Science

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Magnetic non-destructive testing methods can be classified into the earliest methods developed for assessment of steel constructions. One of them is the magnetic flux leakage technology. A measurement of the magnetic flux leakage is quite commonly used for examination of large objects such as tanks and pipelines. Construction of a magnetic flux leakage tool is relatively simple, but a quantitative analysis of recorded data is a difficult task. Therefore, methods of magnetic flux leakage signal processing and analysis are still under development. A magnetic flux leakage in-line-inspection tool called FLUMAG 500 was constructed. FLUMAG 500 was designed for gas and oil pipelines inspection. In this paper principle of operation of FLUMAG 500 was described. Advanced algorithms of the signal processing and analysis was also developed. Results coming from the development stage as well as from the final construction of the tool were presented. Analysis of these results shows that FLUMAG 500 is a suitable tool for detection of corrosion defects in a pipeline wall.

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“…The helical profile in the magnetic field surrounding seamless pipes has been referred to as "seamless pipe noise" (SPN) in reference to the MFL testing of seamless pipelines, where flux leakage from defects can easily be hidden leading to an increased number missed defects when pigging [48]. A number of different algorithms have been proposed in order to correct for the periodic noise and considerably improve the detectability of defect signals [48,49,50].…”

Section: Measurements Performed On a Seamless Carbon Steel Pipementioning

confidence: 99%