Results 41 to 50 of about 495 (164)

Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes

Shock and Vibration, 2019
In this paper, we present a nondestructive testing device for wire rope by unsaturated magnetic excitation as an alternative to existing magnetic flux leakage (MFL) detection devices.
Pengbo Zheng, Juwei Zhang
doaj   +1 more source

Research on Pipeline Magnetic Flux Leakage Testing Defect Classification Based on Generate Expansion and Dual-Channel Vision Transformer

Applied Sciences
Magnetic flux leakage (MFL) testing is a vital non-destructive testing method used to identify defects in oil and gas pipelines and critical components.
Xulai Zhu, Yuxiang Zhang, Qiansheng Fang, Jin Jiang, Nana Zhang, Shiheng Tang, Gongquan Zhang   +6 more
doaj   +1 more source

Highly Sensitive Nondestructive Tunneling Magneto Resistive Imaging: Simulation and Experimental Validation

IEEE Access, 2021
With the increased use of high-performance thin steels, detecting internal or external micro defects in a manufacturing process has become critical for the steel manufacturing process’s cost and quality management.
Joongho Ahn, Jinhwan Baik, Chulhong Kim, Sung-Min Park   +3 more
doaj   +1 more source

Safeguarding Pipeline Integrity Through Stacked Ensemble Learning and Data Fusion

International Journal of Mechanical System Dynamics, Volume 5, Issue 1, Page 129-140, March 2025.
ABSTRACT This research presents a novel approach to pipeline Structure Health Monitoring (SHM) by utilizing frequency response function signals and integrating advanced data‐driven techniques to detect and evaluate vibration responses regarding loose bolts, scale deposits within pipelines, and cracks at pipeline supports, aiming to determine the ...
Hussein A. M. Hussein, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan   +3 more
wiley   +1 more source

UEG Week 2021 Poster Presentations

, 2021
United European Gastroenterology Journal, Volume 9, Issue S8, Page 262-907, October 2021.
wiley   +1 more source

Research on Defect Detection by Finite Element Simulation Combined with Magnetic Imaging

Metals
This study investigates the magneto-optical imaging (MOI) characteristics of weld defects under alternating magnetic field excitation. A magneto-optical sensor is employed to detect different types of weld defects, and the correlation between MOI ...
Chunmei Xu, Hongliang Gao, Yanxi Zhang, Zhengfeng Wang, Yongbiao Luo, Jian Wang, Md Rakibul Hasan, Tanmoy Mondal, Yanfeng Li   +8 more
doaj   +1 more source

Hybrid CNN–Transformer Approach for Rotor Interturn Short‐Circuit Fault Detection in Doubly Fed Induction Generators at Synchronous Speed

IET Electric Power Applications, Volume 19, Issue 1, January/December 2025.
This paper proposes a hybrid deep learning method combining convolutional neural networks (CNNs) and transformer architectures for detecting rotor interturn short‐circuit (RITSC) faults in doubly fed induction generators (DFIGs), with a focus on the challenging near‐synchronous speed condition.
Sajad Khoshbakht, SeyedMohammad M. Moosavi, Sérgio M. A. Cruz   +2 more
wiley   +1 more source

EHA2021 Virtual Congress Abstract Book

, 2021
HemaSphere, Volume 5, Issue S2, June 2021.
wiley   +1 more source

Effect of High Temperatures on MFL Signals

e-Journal of Nondestructive Testing
Magnetic Flux Leakage (MFL) is a widely used non-destructive testing (NDT) technique for in line inspection (ILI) of pipelines, valued for detecting and characterising corrosion-induced metal loss.
I. C. Perez-blanco, J. J. Padilla, M.A, Rios-tarazona, S. Perez-rodriguez, J. C. Villamizar-rincon, L. Angel, M. B. Castellanos   +6 more
doaj   +1 more source

Fast Estimation of Defect Profiles from the Magnetic Flux Leakage Signal Based on a Multi-Power Affine Projection Algorithm

Sensors, 2014
Magnetic flux leakage (MFL) inspection is one of the most important and sensitive nondestructive testing approaches. For online MFL inspection of a long-range railway track or oil pipeline, a fast and effective defect profile estimating method based on a
Wenhua Han, Xiaohui Shen, Jun Xu, Ping Wang, Guiyun Tian, Zhengyang Wu   +5 more
doaj   +1 more source