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

Buhari, Mohammed D.; Tian, Gui Yun; Tiwari, Rajesh

doi:10.1109/jsen.2018.2879348

Cited by 30 publications

(8 citation statements)

References 34 publications

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“…A microwave-based technique for steel pipeline inspection is proposed in [56]. The technique aims to inspect curvature surfaces (hyperbola shape) in far standoff distance (40 mm).…”

Section: Conventional Microwave Ndt Techniquesmentioning

confidence: 99%

Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

2019

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The development in materials technology has produced stronger, lighter, stiffer, and more durable electrically insulating composites which are replacing metals in many applications. These composites require alternative inspection techniques because the conventional nondestructive testing (NDT) techniques such as thermography, eddy currents, ultrasonic, X-ray and magnetic particles have limitations of inspecting them. Microwave NDT technique employing open-ended rectangular waveguides (OERW) has emerged as a promising approach to detect the defects in both metal and composite materials. Despite its promising results over conventional NDT techniques, OERW microwave NDT technique has shown numerous limitations in terms of poor spatial resolution due to the stand-off distance variations, inspection area irregularities and quantitative estimation in imaging the size of defects. Microwave NDT employing OERW in conjunction with robust artificial intelligence approaches have tremendous potential and viability for evaluating composite structures for the purpose mentioned here. Artificial intelligence techniques with signal processing techniques are highly possible to enhance the efficiency and resolution of microwave NDT technique because the impact of artificial intelligence approaches is proven in various conventional NDT techniques. This paper provides a comprehensive review of NDT techniques as well as the prospect of using artificial intelligence approaches in microwave NDT technique with regards to other conventional NDT techniques. INDEX TERMS Microwave nondestructive testing, open-ended rectangular waveguides, artificial intelligence.

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“…A microwave-based technique for steel pipeline inspection is proposed in [56]. The technique aims to inspect curvature surfaces (hyperbola shape) in far standoff distance (40 mm).…”

Section: Conventional Microwave Ndt Techniquesmentioning

confidence: 99%

Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

2019

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“…The technique successfully represents the defect location, shape and depth based on adjusting a threshold. Besides the computational complexity challenge in [28], SAR-based singular value decomposition (SVD) and rang-Doppler algorithm (RDA) have shown promising results in terms of the high resolution of microwave imaging with a 40 mm stand-off distance. However, intensive knowledge is required to select reasonable PCA and SVD components and the threshold value for reliable defect evaluation.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Delamination Under Insulation Using Ridge Waveguide

et al. 2022

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Insulation has been widely used to protect metal substrates in various industries such as turbine blades and oil and gas pipelines. Due to aging and cyclic processes, delamination between the metal component and insulation could grow. Such defects represent a critical problem that may result in catastrophic failure of the asset. Therefore, detecting and evaluating delaminated areas is mandatory for providing urgent maintenance solutions before the failure occurrence. In this paper, microwave nondestructive technique (NDT) is proposed for delamination detection and thickness estimation under dielectric insulation. In microwave NDT, the electromagnetic waves are induced into the dielectric material's surface using a ridge waveguide. The complex reflection coefficients are acquired using a vector network analyzer for further analysis in the time domain. Next, a time-domain reflectometry (TDR) technique-based inverse discrete Fourier transform is used to evaluate the complex reflection coefficients in terms of delamination's size and thickness estimation. The delamination evaluation is performed by measuring the maximum peak's time-step variations instead of the magnitude reduction in conventional TDR techniques in terms of the defect and defect-free reflections. Next, a comparison is made between implementing the proposed technique using a ridge waveguide and a regular rectangular waveguide. The results prove the superiority of using the ridge waveguide for delamination evaluation in terms of sizing and thickness with a minimum error rate of 5% and 7.87%, respectively. These novel results of ridge waveguide due to its small aperture and relatively wide bandwidth. The microwave NDT technique reported here could provide a predictive maintenance tool for many industries to minimize the maintenance effort and cost.

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“…Radar technology first emerged during World War II [1] and has evolved ever since. Apart from military operations, modern radar technology is deployed in numerous applications, including range/speed detection, autonomous driving vehicles [2][3][4][5], detection of objects buried underground (e.g., landmines or pipelines) [6][7][8][9][10], detection of airborne objects [11][12][13], and bio-radiolocation.…”

Section: Introductionmentioning

confidence: 99%

IR-UWB Pulse Generation Using FPGA Scheme for through Obstacle Human Detection

Tantiparimongkol

Phasukkit

2020

Sensors

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This research proposes a scheme of field programmable gate array (FPGA) to generate an impulse-radio ultra-wideband (IR-UWB) pulse. The FPGA scheme consists of three parts: digital clock manager, four-delay-paths stratagem, and edge combiner. The IR-UWB radar system is designed to detect human subjects from their respiration underneath the rubble in the aftermath of an earthquake and to locate the human subjects based on range estimation. The proposed IR-UWB radar system is experimented with human subjects lying underneath layers of stacked clay bricks in supine and prone position. The results reveal that the IR-UWB radar system achieves a pulse duration of 540 ps with a bandwidth of 2.073 GHz (fractional bandwidth of 1.797). In addition, the IR-UWB technology can detect human subjects underneath the rubble from respiration and identify the location of human subjects by range estimation. The novelty of this research lies in the use of the FPGA scheme to achieve an IR-UWB pulse with a 2.073 GHz (117 MHz–2.19 GHz) bandwidth, thereby rendering the technology suitable for a wide range of applications, in addition to through-obstacle detection.

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

Cited by 30 publications

References 34 publications

Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

Assessment of Delamination Under Insulation Using Ridge Waveguide

IR-UWB Pulse Generation Using FPGA Scheme for through Obstacle Human Detection

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