Shaking Noise Exploration and Elimination for Detecting Local Flaws of Steel Wire Ropes Based on Magnetic Flux Leakages

Liu, Zhiliang; Ren, Liyuan

doi:10.1109/tie.2022.3174302

Cited by 10 publications

(1 citation statement)

References 22 publications

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“…The variations are from the defects region, internal girth weld, and inter between pipe joint section (pipe expander). In addition, due to the axial vibration of the robot, slight noise signals were employed by the GMR sensor array [41,42]. Among the six GMR sensors, the S3 and S4 sensors observed magnetic flux leakage from the defect regions at both the start and end of the pipeline.…”

Section: Analysis Of the Different Through-hole Axial Sizes In The No...mentioning

confidence: 99%

Analysis of Leakage in a Sustainable Water Pipeline Based on a Magnetic Flux Leakage Technique

et al. 2022

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Pipelines are typically used to transport oil, natural gas, water, etc. It is one of the most effective methods for transferring fluids over long distances. However, long-term usage of these pipes without maintenance results in the formation of residues, which will pave the way for pipeline accidents and soil contamination. To ensure the safety and protection of resources, these sustainable pipelines need to be inspected to avoid losses. This work aims to investigate various internal defect leaks in the non-uniform thickness of sustainable water pipes that are joined with a pipe expander. The magnetic flux leakage technique was implemented to evaluate these defects by means of a flexible GMR sensor array. An inspection robot containing two units was fabricated with the aid of 3D printing. The power unit provides the necessary thrust to actuate the entire robot whereas the sensing unit is responsible for analyzing the leaks. The robot’s movement is predicted by the MPU6050 and ultrasonic distance sensors that are plotted as motion plots. The sensing unit consists of permanent magnets and a giant magnetoresistance (GMR) array to interrogate the flux leakage in the defect region. The flux leakage from the defects was stored with the help of an Arduino microcontroller, which controls the overall process. In addition, the spring suspension is provided to regulate the motion of the robot. The flux leakage from the defect region was plotted as waveform graphs. Thus, the results are effectively presented and compared. The calculated signal-to-noise ratio (SNR) of the magnetic flux leakages (MFLs) for 4.5 mm-thick pipe defects was 12 to 20.8 dB, and for 6.52 mm-thick pipe defects, it was 9.5 to 19 dB. In sum, the MFL technique provides a reliable method for the sustainable development of water supply to wide areas.

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Section: Analysis Of the Different Through-hole Axial Sizes In The No...mentioning

confidence: 99%

Analysis of Leakage in a Sustainable Water Pipeline Based on a Magnetic Flux Leakage Technique

et al. 2022

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Bayesian Modelling and Uncertainty Analysis for Wire Rope Defect Signal Recognition

Liu,

Lin

et al. 2024

Lecture Notes in Mechanical Engineering

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Damage Identification of Wire Rope Under Strong Noise Background via Light-EfficientNetV2 and Magnetic Flux Leakage Image

Huang,

Wang,

Yang

et al. 2024

J Fail. Anal. and Preven.

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Shaking Noise Exploration and Elimination for Detecting Local Flaws of Steel Wire Ropes Based on Magnetic Flux Leakages

Cited by 10 publications

References 22 publications

Analysis of Leakage in a Sustainable Water Pipeline Based on a Magnetic Flux Leakage Technique

Analysis of Leakage in a Sustainable Water Pipeline Based on a Magnetic Flux Leakage Technique

Bayesian Modelling and Uncertainty Analysis for Wire Rope Defect Signal Recognition

Damage Identification of Wire Rope Under Strong Noise Background via Light-EfficientNetV2 and Magnetic Flux Leakage Image

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