Results 81 to 90 of about 4,730,238 (111)

A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data

Scientific Reports
In response to the issue of massive data volume generated by magnetic flux leakage (MFL) non-destructive testing in oil and gas pipelines, an intelligent data compression method based on a targeted one-dimensional fully convolutional autoencoder network ...
Wenbo Xuan, Pengchao Chen, Rui Li, Fuxiang Wang, Kuan Fu, Zhitao Wen   +5 more
doaj   +1 more source

EHA2024 Hybrid Congress

HemaSphere, Volume 8, Issue S1, June 2024.
wiley   +1 more source

A 3-D Defect Profile Inversion Method Based on the Continuity Correction Strategy

Machines
Magnetic flux leakage (MFL) detection is widely used in the non-destructive testing of pipelines. Inversion is a key step in MFL detection, and iterative inversion based on an optimization algorithm is an effective method for constructing the 3-D profile
Chenlin Wang, Jianhua Tang, Yicheng Duan, Senxiang Lu, Hao Wen   +4 more
doaj   +1 more source

Simulation Analysis of Magnetic Flux Leakage (MFL) Testing for Wire Rope Based on Multilayer Helical Structure [PDF]

Xiaoyuan Jiang, Jiafan Xue, Mengqi Liu, Yanhua Sun, Yijun Zhang, Lingsong He   +5 more
openalex   +1 more source

Magnetic Flux Leakage (MFL) Method for Damage Detection in Internal Post-Tensioning Tendons

US Transportation Collection2021PDFTech ReportJaved, AliSadeghnejad, AmirRehmat, Sheharyar eYakel, AaronAzizinamini, AtorodFlorida International UniversityFlorida. Department of Transportation. Research CenterFlorida.

core  

Nondestructive Testing of Steel Corrosion in Prestressed Concrete Structures using the Magnetic Flux Leakage System

, 2018
The Magnetic Flux Leakage (MFL) method can be nondestructively used to disclose the location and extent of corrosion or fracture in prestressed strands in concrete structures.
Shibin Lin, Al Ghorbanpoor, Sadegh Shams, Hoda Azari   +3 more
core   +1 more source

Adaptive Multi-Scale Bayesian Framework for MFL Inspection of Steel Wire Ropes

Machines
Magnetic flux leakage (MFL) technology is widely used in steel wire rope (SWR) inspection for non-destructive testing. However, accurate defect characterization requires advanced signal processing techniques to handle complex noise conditions and varying
Xiaoping Li, Yujie Sun, Xinyue Liu, Shaoxuan Zhang   +3 more
doaj   +1 more source

Quantitative assessment of pipeline defects utilizing a dual-stage deep learning framework: Integration of pretrained YOLO network and multi-input parallel convolution architectures on magnetic flux leakage data

Journal of Pipeline Science and Engineering
As long-distance oil pipelines near the end of their operational tenure, the propensity for leakage due to localized defects markedly increases, necessitating the imperative for systematic inspection and sustained maintenance efforts.
Jialiang Xie, Jie Yang, Kuan Fu, Linxi Tai, Xia Wang, Jianjun Zhu, Jianli Wang   +6 more
doaj   +1 more source

Quantification of Complex Defects in Magnetic Flux Leakage (MFL) Testing Using Gradient Gray Level Analysis Based on Least Square Approximation

, 2019
Alimey Fred John, Haichao Yu, Libing Bai, Yuhua Cheng, Yonggang Wang, Jinhua Mi   +5 more
openalex   +1 more source

A Defect Evaluation Methodology Based on Multiple Magnetic Flux Leakage (MFL) Testing Signal Eigenvalues

, 2015
Yanhua Sun, Shiwei Liu, Zhijian Ye, Shaobo Chen, Qian Zhou   +4 more
openalex   +1 more source