Current deflection NDE for the inspection and monitoring of pipes

Jarvis, Rollo; Cawley, P.; Nagy, Péter B.

doi:10.1016/j.ndteint.2016.03.006

Cited by 45 publications

(24 citation statements)

References 34 publications

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“…The passive antenna sensors, in fact, is a new technique and have great potentials to be developed into permanent embedded sensors for ageing infrastructure and life extension: e.g., railway track [202], power plant [203], aircraft [204], oil & gas structures [205] and pipelines [206], where reliable and accurate defect assessment and continuous monitoring is thereby required to provide significant safety and economic benefits. More applications can be found in [207].…”

Section: Future Trends and Perspectivesmentioning

confidence: 99%

A Review of Passive RFID Tag Antenna-Based Sensors and Systems for Structural Health Monitoring Applications

Zhang

Tian

Marindra

et al. 2017

Sensors

300

172

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In recent few years, the antenna and sensor communities have witnessed a considerable integration of radio frequency identification (RFID) tag antennas and sensors because of the impetus provided by internet of things (IoT) and cyber-physical systems (CPS). Such types of sensor can find potential applications in structural health monitoring (SHM) because of their passive, wireless, simple, compact size, and multimodal nature, particular in large scale infrastructures during their lifecycle. The big data from these ubiquitous sensors are expected to generate a big impact for intelligent monitoring. A remarkable number of scientific papers demonstrate the possibility that objects can be remotely tracked and intelligently monitored for their physical/chemical/mechanical properties and environment conditions. Most of the work focuses on antenna design, and significant information has been generated to demonstrate feasibilities. Further information is needed to gain deep understanding of the passive RFID antenna sensor systems in order to make them reliable and practical. Nevertheless, this information is scattered over much literature. This paper is to comprehensively summarize and clearly highlight the challenges and state-of-the-art methods of passive RFID antenna sensors and systems in terms of sensing and communication from system point of view. Future trends are also discussed. The future research and development in UK are suggested as well.

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Section: Future Trends and Perspectivesmentioning

confidence: 99%

A Review of Passive RFID Tag Antenna-Based Sensors and Systems for Structural Health Monitoring Applications

Zhang

Tian

Marindra

et al. 2017

Sensors

300

172

View full text Add to dashboard Cite

show abstract

“…These inspections are normally carried out using non-destructive testing and evaluation (NDT&E) [3]. In the area of NDT&E, a range of inspection methods are available for pipeline integrity that include ultrasonic technique [4] [5], pulsed eddy current [6] [7], magnetic flux leakage M. D. Buhari and G. Y. Tian are with the Department of Electrical and Electronic Engineering, Newcastle University, Newcastle Upon Tyne, NE1 7RU, and R. Tiwari is with NSL Nottingham.…”

Section: Introductionmentioning

confidence: 99%

Microwave-Based SAR Technique for Pipeline Inspection Using Autofocus Range-Doppler Algorithm

2019

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In non-destructive testing and evaluation, microwave-based synthetic aperture radar (SAR) imaging have shown great potential in the detection of defects on buried objects such as pipes. However, due to pipe curvature and high standoff distance when inspecting an insulated pipe, the useful defect information used to characterise the pipe image is lost as a result of low signal-to-noise ratio (SNR) resulting in a blurred and unfocused image. In this paper, we proposed a robust microwave-based SAR imaging using autofocus range-Doppler algorithm (RDA) for the inspection of an insulated pipe. Singular value decomposition (SVD) is used to mitigate the effect of the insulation layer by removing dominant singular values that characterise the insulation layer, and the autofocus RDA is designed to refocus the SAR image using RDA residual refocusing. SNR, improvement factor (IF) and squared error (SE) are used to evaluate the qualitative image information of the defect on the pipe. Experimental results showed the efficacy of the method in detecting defects on an insulated pipe, in particular, a significant reduction in the noise content of the image compared to the known SAR Omega-k algorithm. It was found that the autofocus RDA gave higher values of SNR and IF (3 dB and 6 dB) compared to the Omega-k algorithm (-1 dB and 2 dB) respectively.

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“…Accordingly, the periodic inspection of pipe wall thinning using nondestructive testing is essential for the integrity of piping systems. 3,4) Currently, ultrasonic testing is the commonest method to measure the thickness of pipes. However, conventional ultrasonic testing requires an accessible pipe surface, and inspection takes a long time because it is mainly performed manually.…”

Section: Introductionmentioning

confidence: 99%

Low Frequency Electromagnetic Testing for Evaluating Wall Thinning in Carbon Steel Pipe

2018

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This study proposes an inverse algorithm to evaluate the depth of full circumferential wall thinning from low-frequency electromagnetic field signals. Finite element simulations were performed and revealed that normalizing the magnetic fields enabled the elimination of the effects of the length and the position of wall thinning and the dimensions of the pipe under test. Subsequently, this study attempted to evaluate the residual wall thickness on the basis of the maximum normalized magnetic field using Gaussian process regression. Forty-eight signals obtained by numerical simulations were used to develop a regression model. Eighteen further signals obtained by numerical simulations and nine signals obtained by experiments using a carbon steel pipe (diameter 101.6 mm and thickness 5.7 mm) were used for validation. The root mean squared error of the validation was 0.07 mm for the simulated signals and 0.23 mm for the signals obtained by the experiment. The 95% confidence intervals of the predictions, which would contribute to probabilistic risk analysis, were approximately 0.5 mm.

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Current deflection NDE for the inspection and monitoring of pipes

Cited by 45 publications

References 34 publications

A Review of Passive RFID Tag Antenna-Based Sensors and Systems for Structural Health Monitoring Applications

A Review of Passive RFID Tag Antenna-Based Sensors and Systems for Structural Health Monitoring Applications

Microwave-Based SAR Technique for Pipeline Inspection Using Autofocus Range-Doppler Algorithm

Low Frequency Electromagnetic Testing for Evaluating Wall Thinning in Carbon Steel Pipe

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