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Quantitative Prediction of Axis Alignment Based on Magnetic Flux Leakage Detection and GA-BP Algorithm

2024 13th International Conference of Information and Communication Technology (ICTech)
In solving the problem of shaft alignment detection, traditional shaft alignment methods such as the gauge method, double table method, and laser method can detect shaft alignment in engineering.
Zhicong Zhang, Wei Li
semanticscholar   +1 more source

Real-Time Data Mining in Magnetic Flux Leakage Detecting in Boiler Pipeline

2010 International Conference on Digital Manufacturing & Automation, 2010
For boiler in magnetic flux leakage testing data characteristics on the basis of full analysis, Combining the application of industrial control integrated automation needs, proposed the pipeline magnetic flux leakage testing data mining system framework. Through analysis of magnetic flux leakage pipeline inspection data and mines the key data. It could
MinYi Ke, Pan Liao, XiaoChun Song
openaire   +1 more source

A Fast Magnetic Flux Leakage Small Defect Detection Network

IEEE Transactions on Industrial Informatics, 2023
Fucheng Han, Xianming Lang
openaire   +1 more source

Magnetic Flux Leakage Detection of Corrosion Damage in Prestressed Concrete Poles

2015
Urban infrastructure includes large amounts of concrete poles which support power lines, communication cables, and street lighting. These poles are made of spun concrete with embedded pre-stressed reinforcement steel. The chemical environment at the ground-air interface, in combination with tensile prestressing and possibly low concrete cover, promotes
Szielasko Klaus   +5 more
openaire   +1 more source

The research of defect detection test system based on magnetic flux leakage

Proceedings of 2011 6th International Forum on Strategic Technology, 2011
According to the defect characteristics and the failure mechanisms, the defect detection technique of rail is discussed based on the magnetic flux leakage (MFL), and a test system of magnetic flux leakage based on AT89C51 is proposed. This paper firstly introduces the theory of magnetic flux leakage, and then combining with electron and circuit theory ...
null Junshan Gao   +2 more
openaire   +1 more source

A Novel Geometry-Aware Context Selection Network for Small Defect Detection Under Magnetic Flux Leakage Signals

IEEE Transactions on Instrumentation and Measurement
Defect detection is crucial for evaluating the pipeline safety condition. However, due to the limited size of small defects and strong background interference in complex scenarios, the performance of current defect detection methods sharply declines in ...
Qiannan Wang   +6 more
semanticscholar   +1 more source

The research on defect recognition method for rail magnetic flux leakage detecting

Proceedings of 2012 International Conference on Measurement, Information and Control, 2012
In this paper, the ANSYS finite element software was used to establish a two-dimensional mathematical model of defect leakage field for the simulation of the cracks, cone-shaped, pits and other regular defects of rail with the FEM simulation method, through which axial and radial magnetic flux density distribution curves and other data of defect ...
null Junshan Gao   +2 more
openaire   +1 more source

Adaptive Local Flaw Detection Based on Magnetic Flux Leakage Images With a Noise Distortion Effect for Steel Wire Ropes

IEEE transactions on industrial electronics (1982. Print)
A steel wire rope (SWR) is widely used in industrial scenarios because of its high strength and toughness. To avoid accidents that local flaws (LFs) can cause, SWRs should be inspected regularly.
Feiyang Pan   +3 more
semanticscholar   +1 more source

Nonlinear model of flaw detection in steel pipes by magnetic flux leakage

NDT & E International, 1995
Abstract A numerical model of crack detection by magnetic flux leakage that takes into account the saturation of the induction flux density with the applied field is developed. The model contains no free parameters and is validated with detailed measurements of materials properties and magnetic fields reported by Forster.
Eduardo Altschuler, Alberto Pignotti
openaire   +1 more source

Improving Pipeline Magnetic Flux Leakage (MFL) Detection Performance With Mixed Attention Mechanisms (AMs) and Deep Residual Shrinkage Networks (DRSNs)

IEEE Sensors Journal
Magnetic flux leakage (MFL) detection is one of the most commonly used nondestructive testing methods and plays a crucial role in ensuring pipeline safety during transportation.
Luying Zhang   +4 more
semanticscholar   +1 more source

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