Improving the Ability of a Laser Ultrasonic Wave-Based Detection of Damage on the Curved Surface of a Pipe Using a Deep Learning Technique

Yu, Byoungjoon; Tola, Kassahun Demissie; Lee, Changgil; Park, Seunghee

doi:10.3390/s21217105

Cited by 10 publications

(4 citation statements)

References 31 publications

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“…A laser beam is created and senses the non-corrosive surface at the face side, where the reflection method is employed, as illustrated in Figure 5. A pulsed Nd: YAG laser has been utilized to make an ultrasound [58]. A TEMPO laser ultrasonic receiver detects the reflected ultrasound.…”

Section: Laser Ultrasonic Methodsmentioning

confidence: 99%

Recent Advances in Nondestructive Method and Assessment of Corrosion Undercoating in Carbon–Steel Pipelines

May

Alam

Nayan

2022

Sensors

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Carbon–steel pipelines have mostly been utilized in the oil and gas (OG) industry owing to their strength and cost-effectiveness. However, the detection of corrosion under coating poses challenges for nondestructive (ND) pipeline monitoring techniques. One of the challenges is inaccessibility because of the pipeline structure, which leads to undetected corrosion, which possibly leads to catastrophic failure. The drawbacks of the existing ND methods for corrosion monitoring increase the need for novel frameworks in feature extraction, detection, and characterization of corrosion. This study begins with the explanations of the various types of corrosion in the carbon–steel pipeline in the OG industry and its prevention methods. A review of critical sensors integrated with various current ND corrosion monitoring systems is then presented. The importance of acoustic emission (AE) techniques over other ND methods is explained. AE data preprocessing methods are discussed. Several AE-based corrosion detection, prediction, and reliability assessment models for online pipeline condition monitoring are then highlighted. Finally, a discussion with future perspectives on corrosion monitoring followed by the significance and advantages of the emerging AE-based ND monitoring techniques is presented. The trends and identified issues are summarized with several recommendations for improvement in the OG industry.

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Section: Laser Ultrasonic Methodsmentioning

confidence: 99%

Recent Advances in Nondestructive Method and Assessment of Corrosion Undercoating in Carbon–Steel Pipelines

May

Alam

Nayan

2022

Sensors

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“…Ultrasonic testing with the CNN model is introduced in stainless steel specimens to image the defects at the bending part of the pipe [106]. CNN is a deep learning algorithm that can compile the retrieved reduced characteristics into a high-level depiction [107].…”

Section: F Ultrasonic Inspectionmentioning

confidence: 99%

“…-Not capable of giving detailed data of thickness loss. [106] UT-CNN Defects detection of stainless steel bending pipe -Automated damage detection of pipe bend.…”

Section: F Ultrasonic Inspectionmentioning

confidence: 99%

Prospect of Using Machine Learning-Based Microwave Nondestructive Testing Technique for Corrosion Under Insulation: A Review

et al. 2022

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“…The multi-probe phased array integrates small piezoelectric chips into a probe, and realizes dynamic or virtual focusing through timing control or post-processing algorithms, with good imaging accuracy [ 15 ]. Laser ultrasonic (LU) is a non-contact ultrasonic testing method, which has the characteristics of no coupling agent and high temporal and spatial resolution [ 16 , 17 , 18 ]. LU can detect various defects of the sample without being limited by the shape of the part.…”

Section: Introductionmentioning

confidence: 99%

Research on Photoacoustic Synthetic Aperture Focusing Technology Imaging Method of Internal Defects in Cylindrical Components

Zhang,

Li,

Chen

et al. 2023

Sensors

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Cylindrical components are parts with curved surfaces, and their high-precision defect testing is of great significance to industrial production. This paper proposes a noncontact internal defect imaging method for cylindrical components, and an automatic photoacoustic testing platform is built. A synthetic aperture focusing technology in the polar coordinate system based on laser ultrasonic (LU-pSAFT) is established, and the relationship between the imaging quality and position of discrete points is analyzed. In order to verify the validity of this method, small holes of Φ0.5 mm in the aluminum alloy rod are tested. During the imaging process, since a variety of waveforms can be excited by the pulsed laser synchronously, the masked longitudinal waves reflected by small holes need to be filtered and windowed to achieve high-quality imaging. In addition, the influence of ultrasonic beam angle and signal array spacing on imaging quality is analyzed. The results show that the method can accurately present the outline of the small hole, the circumferential resolution of the small hole is less than 1° and the dimensional accuracy and position error are less than 0.1 mm.

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Improving the Ability of a Laser Ultrasonic Wave-Based Detection of Damage on the Curved Surface of a Pipe Using a Deep Learning Technique

Cited by 10 publications

References 31 publications

Recent Advances in Nondestructive Method and Assessment of Corrosion Undercoating in Carbon–Steel Pipelines

Recent Advances in Nondestructive Method and Assessment of Corrosion Undercoating in Carbon–Steel Pipelines

Prospect of Using Machine Learning-Based Microwave Nondestructive Testing Technique for Corrosion Under Insulation: A Review

Research on Photoacoustic Synthetic Aperture Focusing Technology Imaging Method of Internal Defects in Cylindrical Components

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