Results 101 to 110 of about 1,874 (204)

Design and Performance Study of a Magnetic Flux Leakage Pig for Subsea Pipeline Defect Detection

Journal of Marine Science and Engineering
Subsea pipelines, operating in high-pressure and high-salinity conditions, face ongoing risks of leakage. Pipeline leaks can pollute the marine environment and, in severe cases, cause safety incidents, endangering human lives and property.
Fei Qu, Shengtao Chen, Meiyu Zhang, Kang Zhang, Yongjun Gong   +4 more
doaj   +1 more source

Small, Untethered, Mobile Robots for Inspecting Gas Pipes [PDF]

Small, untethered mobile robots denoted gas-pipe explorers (GPEXs) have been proposed for inspecting the interiors of pipes used in the local distribution natural gas.
Wilcox, Brian
core   +1 more source

Rail accelerators for space transportation: An experimental investigation [PDF]

An experimental program was conducted at the Lewis Research Center with the objective of investigating the technical feasibility of rail accelerators for propulsion applications.
Kerslake, W. R., Sturman, J. L., Zana, L. M.   +2 more
core   +1 more source

An Improved Empirical Wavelet Transform Filtering Method for Rail-Head Surface-Defect Magnetic-Flux Leakage Signal

Applied Sciences
The rail is an important factor in railway traffic safety. Surface defects in the rail head comprise a common type of rail damage, and magnetic flux leakage (MFL) technology is applied for its detection.
Yinliang Jia, Jing Lin, Ping Wang, Yue Zhu   +3 more
doaj   +1 more source

3D point cloud upsampling for accurate reconstruction of dense 2.5D thickness maps [PDF]

, 2014
This paper presents a novel robust processing methodology for computing 2.5D thickness maps from dense 3D collocated surfaces. The proposed pipeline is suitable to faithfully adjust data representation detailing as required, from preserving fine surface ...
De Bruijn, F, Falque, R, Miro, JV, Skinner, B, Vidal-Calleja, T   +4 more
core  

Recognition Method of Pipeline Metal Loss Defects Based on Machine Learning

Shiyou jixie, 2020
In view of the difficulty of identifying defects in petrochemical pipeline magnetic flux leakage(MFL)detection, the types of metal loss defects in pipelines are classified and quantified, and the three-dimensional finite element model of MFL detection of
Zhao Hanxue, Zhang Mi, Guo Yanbao, Wang Deguo, He Renyang   +4 more
doaj  

Nondestructive Inspection of Steel Cables Based on YOLOv9 with Magnetic Flux Leakage Images

Journal of Sensor and Actuator Networks
The magnetic flux leakage (MFL) method is widely acknowledged as a highly effective non-destructive evaluation (NDE) technique for detecting local damage in ferromagnetic structures such as steel wire ropes.
Min Zhao, Ning Ding, Zehao Fang, Bingchun Jiang, Jiaming Zhong, Fuqin Deng   +5 more
doaj   +1 more source

Internal electrostatic discharge hazard risk assessment to the Galileo orbiter [PDF]

A worst case assessment was performed on the Command Data System (CDS) multilayer printed circuit board and an output power transformer module in the power subsystem.
Andrews, J. C., Leadon, R. E., Schmidt, R. E., Treadaway, M. J.   +3 more
core   +1 more source

Research on a Wire Rope Breakage Detection Device for High-Speed Operation Based on the Multistage Excitation Principle. [PDF]

Sensors (Basel), 2023
Zhou Z, Zhang X, Deng R, Han L, Zhou M, Ma Z, Chang X, Peng Y.   +7 more
europepmc   +1 more source

Nondestructive magnetic inspection of spot welding [PDF]

, 2018
Tomáš, Ivan, Vértesy, Gábor
core   +1 more source