Results 11 to 20 of about 219,781 (336)

Quantitative method of pipeline magnetic leakage internal signal detection on the basis of an improved neural network [PDF]

open access: yesScientific Reports
In response to the problem of poor quantification ability and unclear feature correlation of pipeline defect magnetic flux leakage signals, a neural network is proposed to establish the relationship between the characteristic quantities of pipeline ...
Guoqing Wang   +3 more
doaj   +2 more sources

Analytical modeling of coreless stator axial flux permanent magnet machines under no-load condition [PDF]

open access: yesScientific Reports
This paper presents three analytical techniques for 3D modeling and analysis of coreless stator axial flux permanent-magnet (CS-AFPM) machines under no-load condition. Quasi 3D analytical model based on Hague’s solution, magnetic equivalent circuit (MEC)
Farhad Rezaee-Alam
doaj   +2 more sources

Parametric design methodology for yoke-magnetization in magnetic flux leakage detection systems

open access: yesResults in Engineering
Magnetic flux leakage (MFL) testing is a widely employed non-destructive testing (NDT) method, particularly for ferromagnetic materials. This paper proposes a systematic design procedure for the yoke-magnetization component in MFL systems utilizing ...
Quoc Minh Lam   +4 more
doaj   +2 more sources

Research on distribution of winding leakage magnetic field of three-phase dry type transformer under short-circuit condition

open access: yesEnergy Reports, 2023
Leakage flux magnitude and pattern greatly affect transformer short-circuit resistance. In this paper, finite element calculations and experimental measurements is used to calculate the leakage magnetic field of a transformer.
Tiannan Meng   +5 more
doaj   +1 more source

Deep Learning for Magnetic Flux Leakage Detection and Evaluation of Oil & Gas Pipelines: A Review

open access: yesEnergies, 2023
Magnetic flux leakage testing (MFL) is the most widely used nondestructive testing technology in the safety inspection of oil and gas pipelines. The analysis of MFL test data is essential for pipeline safety assessments.
Songling Huang   +3 more
semanticscholar   +1 more source

Detection of uniaxial fatigue stress under magnetic flux leakage signals using Morlet wavelet

open access: yesFracture and Structural Integrity, 2022
This paper demonstrates the application of continuous wavelet transform technique for magnetic flux leakage signal generated during a uniaxial fatigue test.
S.M. Firdaus   +4 more
doaj   +1 more source

Analysis and Design of a New Linear Vibration Motor Used to Reduce Magnetic Flux Leakage in In-Vehicle Infotainment

open access: yesApplied Sciences, 2020
Linear vibration motors are becoming more popular for use in haptic applications owing to their better performance. However, a permanent magnet with a large volume causes massive magnetic flux leakage, which can be harmful to passengers with a cardiac ...
Zhi-Xiong Jiang   +5 more
doaj   +1 more source

Development of a Physics-Informed Doubly Fed Cross-Residual Deep Neural Network for High-Precision Magnetic Flux Leakage Defect Size Estimation

open access: yesIEEE Transactions on Industrial Informatics, 2022
Defect depth is an essential indicator in magnetic flux leakage (MFL) detection and estimation. The quantification errors for defect depth are closely related to length and width errors, and this feature has always been used to support the operator's ...
Hongyu Sun   +6 more
semanticscholar   +1 more source

Calculation and simulation research on leakage magnetic field of broken wire damage of wire rope

open access: yesGong-kuang zidonghua, 2020
In view of problems that states and characteristics of wire rope defects are random, and it is too difficult to physically calculate the damage of different forms of wire rope, two-dimensional magnetic load model is used to analyze leakage magnetic field
DOU Liancheng, ZHAN Weixia
doaj   +1 more source

Magnetic Flux Leakage Testing Method for Pipelines with Stress Corrosion Defects Based on Improved Kernel Extreme Learning Machine

open access: yesElectronics, 2023
This study aims to study the safety of oil and gas pipelines under stress corrosion conditions and grasp the corrosion damage situation timely and accurately.
Yingqi Li, Chao Sun, Yuechan Liu
semanticscholar   +1 more source

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