Results 11 to 20 of about 2,329,810 (183)

Theory and Application of Magnetic Flux Leakage Pipeline Detection

open access: yesSensors, 2015
Magnetic flux leakage (MFL) detection is one of the most popular methods of pipeline inspection. It is a nondestructive testing technique which uses magnetic sensitive sensors to detect the magnetic leakage field of defects on both the internal and ...
Yan Shi   +4 more
doaj   +2 more sources

Magnetic Flux Leakage Sensing-Based Steel Cable NDE Technique [PDF]

open access: yesShock and Vibration, 2014
Nondestructive evaluation (NDE) of steel cables in long span bridges is necessary to prevent structural failure. Thus, an automated cable monitoring system is proposed that uses a suitable NDE technique and a cable-climbing robot. A magnetic flux leakage-
Seunghee Park   +3 more
doaj   +2 more sources

A Review of Magnetic Flux Leakage Nondestructive Testing. [PDF]

open access: yesMaterials (Basel), 2022
Magnetic flux leakage (MFL) testing is a widely used nondestructive testing (NDT) method for the inspection of ferromagnetic materials. This review paper presents the basic principles of MFL testing and summarizes the recent advances in MFL.
Feng B, Wu J, Tu H, Tang J, Kang Y.
europepmc   +2 more sources

3D magnetic field sensing for magnetic flux leakage defect characterisation

open access: yes, 2006
Magnetic Flux Leakage (MFL) testing is widely used to detect defects in pipelines, rail track and other structures. The measurement of the two field components perpendicular to the test surface and parallel to the applied field in MFL systems is well ...
Tian, Gui Yun, Wilson, John W; id_orcid
core   +10 more sources

Open magnetic flux and magnetic flux closure during sawtooth events [PDF]

open access: yes, 2008
We use IMAGE-FUV observations of the polar aurora and measurements of the ionospheric convection from the SuperDARN radar network to study several sawtooth events previously reported in the literature.
Hubert, B.   +4 more
core   +6 more sources

Development of an MFL Coil Sensor for Testing Pipes in Extreme Temperature Conditions

open access: yesSensors, 2021
This paper aims to design a coil sensor for corrosion monitoring of industrial pipes that could detect variations in thickness using the MFL (Magnetic Flux Leakage) technique. An MFL coil sensor is designed and tested with pipe sample thicknesses of 2, 4,
Nagu Sathappan   +6 more
doaj   +1 more source

Defect Width Assessment Based on the Near-Field Magnetic Flux Leakage Method

open access: yesSensors, 2021
Magnetic flux leakage (MFL) testing has been widely used as a non-destructive testing method for various materials. However, it is difficult to separate the influences of the defect geometrical parameters such as depth, width, and length on the received ...
Erlong Li   +3 more
doaj   +1 more source

Improved Method for Distributed Parameter Model of Solenoid Valve Based on Kriging Basis Function Predictive Identification Program

open access: yesActuators, 2021
In this paper, a method for the improvement of the calculation accuracy of the distributed parameter model (DPM) of electromagnetic devices is proposed based on the kriging basis function predictive identification program (PIP).
Jiaxin You   +4 more
doaj   +1 more source

A Filtering Method for Suppressing the Lift-Off Interference in Magnetic Flux Leakage Detection of Rail Head Surface Defect

open access: yesApplied Sciences, 2022
Magnetic flux leakage (MFL) detection is a common nondestructive detection method which is usually used to detect the surface defects of steel pipes and rails.
Yinliang Jia   +5 more
doaj   +1 more source

Plug Valve Surface Defects Identification through Nondestructive Testing and Fuzzy Deep‐Learning Algorithm for Metal Porosity and Surface Evaluation

open access: yesJournal of Engineering, Volume 2023, Issue 1, 2023., 2023
This paper addresses the detection and identification of flaws in Plug valves. The Plug valve thermal image is acquired using a Fluke thermal camera [TiS20]. Thermal images of the Plug valve are used for the identification of flaws such as Crack, Porosity, Corrosion, and Internal defects. The thermal images detect the surface flaws and never subsurface
V. Jacintha   +3 more
wiley   +1 more source

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