2022
DOI: 10.3390/s22176476
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Small-Diameter Tube Wall Damage-Detection Method Based on TE01 Mode Microwave

Abstract: Accidents occur frequently in urban gas pipelines, and pipeline damage detection is an important means of ensuring pipeline safety. Aiming at the problem that the small diameter pipeline is difficult to detect, this paper proposes a detection method for the inner wall damage of a small-diameter pipeline based on the TE01 mode microwave and uses the TE01 mode to detect the inner wall damage of the pipeline by the terminal short-circuit reflection method. By analyzing the transition of microwave propagation mode… Show more

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Cited by 5 publications
(3 citation statements)
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“…In particular, a back propagation neural network was trained in that study to quantitatively evaluate the depth and length of a wall thinning defect using the extracted resonant frequencies of TM 01 microwave signals and showed good performance. Previous studies have proven the feasibility of this method in detecting wall thinning [15][16][17], cracks [18,19], corrosion under insulation [20], and leakage in buried pipes [21] and biofouling [22,23]. In particular, microwaves in the TM 01 mode with the axial surface current density and in TE 01 mode with the circumferential surface current density on the pipe wall showed high sensitivity to circumferential [18] and axial cracks (slits) [19] with the width about 1 mm, respectively.…”
Section: Introductionmentioning
confidence: 93%
“…In particular, a back propagation neural network was trained in that study to quantitatively evaluate the depth and length of a wall thinning defect using the extracted resonant frequencies of TM 01 microwave signals and showed good performance. Previous studies have proven the feasibility of this method in detecting wall thinning [15][16][17], cracks [18,19], corrosion under insulation [20], and leakage in buried pipes [21] and biofouling [22,23]. In particular, microwaves in the TM 01 mode with the axial surface current density and in TE 01 mode with the circumferential surface current density on the pipe wall showed high sensitivity to circumferential [18] and axial cracks (slits) [19] with the width about 1 mm, respectively.…”
Section: Introductionmentioning
confidence: 93%
“…In addition, Rao et al [11] applied a novel ultrasonic guided wave tomography method based on full waveform inversion for the inner wall of tube defect mapping and reconstructed the tube thickness map, but in practical inspection, the detection ability is greatly reduced due to the interference echo signal from the feature structure in the tube [12]. Shi et al [13] proposed a detection method for the inner wall damage of a small-diameter pipeline based on the TE01 mode microwave; the width of the pipeline defect is analyzed by the movement of the peak value of the echo signal of the microwave reflected wave, but the depth of the defection is not analyzed. The multi-arm caliper imaging logging tool [14] converts the change of casing wall into an electrical signal by contacting the measuring arm with the casing wall and the image of the tube inner surface can be restored on the ground.…”
Section: Introductionmentioning
confidence: 99%
“…This can lead to fluctuations during operation, which, in turn, cause incomplete data collection and reduced detection accuracy [16]. In addition, the poor passing capacity may cause PIG blockages in the pipeline [17][18][19][20][21], leading to a pipeline outage and severe economic losses.…”
Section: Introductionmentioning
confidence: 99%