Theoretical research on the characteristics of the self-magnetic leakage field induced by ferromagnetic pipelines

Li, Changjun; Chen, Chao; Liao, Kexi; Jia, Wenlong; Qian, Huang

doi:10.1784/insi.2016.58.11.601

Cited by 5 publications

(2 citation statements)

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“…The size and direction of the internal magnetic domains of the steel pipeline will change reversibly and irreversibly under the combined effect of stress and the geomagnetic field. This results in changes in the structure of the magnetic domains and in the distribution of the magnetic moments of the domains [21]. The macroscopic manifestation of the pipeline is gradually magnetized.…”

Section: Non-contact Pipeline Magnetic Detection (Npmd)mentioning

confidence: 99%

Collaborative detection and on-line monitoring of pipeline stress in oil and gas stations

Chiu¹,

Liao²,

Li³

et al. 2022

Meas. Sci. Technol.

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The pipeline type of the oil and gas station is diverse, and the single detection method is difficult to comprehensively and accurately measure the pipeline stress. According to the characteristics of each detection method, non-contact pipeline magnetic detection(NPMD), metal magnetic memory(MMM), ultrasonic stress measurement (USM), and ultrasonic thickness measurement (UTM), which constitutes the collaborative detection strategy of station pipelines. According to the sensors arrangement of the non-contact pipeline magnetic detection device, the pipeline magnetic abnormal evaluation parameter N is derived. The magnetic field distribution based on the different extraction height determined by the magnetic charge model and the experimental results, and constructs a feature parameter E which can characterize the degree of stress concentration. The pipeline stress concentration points can be quickly determined in accordance with N and E. Reference stress values can be measured using ultrasonic stress measurement and ultrasonic thickness measurement. Monitoring is implemented at the stress concentration points, and the true stress value at the stress concentration points of the pipeline is established by combining the stress detection results. The application is performed in an oil and gas station, and the collaborative detection method identified two stress concentrations of 186.7 MPa and 211.6 MPa, respectively. The stress at this point in the excavation pit one is confirmed to be 196MPa based on the monitoring data. Based on collaborative detection and on-line monitoring, fast and efficient collaborative detection and real-time mastering of station pipeline stress are achieved.

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Section: Non-contact Pipeline Magnetic Detection (Npmd)mentioning

confidence: 99%

Collaborative detection and on-line monitoring of pipeline stress in oil and gas stations

Chiu¹,

Liao²,

Li³

et al. 2022

Meas. Sci. Technol.

Self Cite

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“…Early damage detection of buried steel pipelines is necessary to confirm safety and reliability during service conditions. To achieve such goals, the primary aim of this study is to develop a non-contact geomagnetic probe using basic principles of magnetic gradient tensor [2,3] to detect the geomagnetic field signals. Non-contact geomagnetic detection [4] is a new kind of non-destructive testing (NDT) technique that needs the Earth's magnetic field as the stimulus source to locate buried ferromagnetic pipelines and achieves structural defect information, i.e., crack, corrosion and dents, etc., without any excavation.…”

Section: Introductionmentioning

confidence: 99%

Time-Domain Output Data Identification Model for Pipeline Flaw Detection Using Blind Source Separation Technique Complexity Pursuit

et al. 2019

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Vital defect information present in the magnetic field data of oil and gas pipelines can be perceived by developing such non-parametric algorithms that can extract modal features and performs structural assessment directly from the recorded signal data. This paper discusses such output-only modal identification method Complexity Pursuit (CP) based on blind signal separation. An application to the pipeline flaw detection is presented and it is shown that the complexity pursuit algorithm blindly estimates the modal parameters from the measured magnetic field signals. Numerical simulations for multi-degree of freedom systems show that the method can precisely identify the structural parameters. Experiments are performed first in a controlled laboratory environment secondly in real world, on pipeline magnetic field data, recorded using high precision magnetic field sensors. The measured structural responses are given as input to the blind source separation model where the complexity pursuit algorithm blindly extracted the least complex signals from the observed mixtures that were guaranteed to be source signals. The output power spectral densities calculated from the estimated modal responses exhibit rich physical interpretation of the pipeline structures.

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Experimental and numerical analysis of non-contact magnetic detecting signal of girth welds on steel pipelines

Liao

et al. 2022

ISA Transactions

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Theoretical research on the characteristics of the self-magnetic leakage field induced by ferromagnetic pipelines

Cited by 5 publications

References 0 publications

Collaborative detection and on-line monitoring of pipeline stress in oil and gas stations

Collaborative detection and on-line monitoring of pipeline stress in oil and gas stations

Time-Domain Output Data Identification Model for Pipeline Flaw Detection Using Blind Source Separation Technique Complexity Pursuit

Experimental and numerical analysis of non-contact magnetic detecting signal of girth welds on steel pipelines

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