Journal of Electromagnetic Analysis and Applications

Journal of Electromagnetic Analysis and Applications

ISSN Print: 1942-0730
ISSN Online: 1942-0749
www.scirp.org/journal/jemaa
E-mail: jemaa@scirp.org
"Detection of Damage and Crack in Railhead by Using Eddy Current Testing"
written by Zenglu Song, Tsutomu Yamada, Hideki Shitara, Yasushi Takemura,
published by Journal of Electromagnetic Analysis and Applications, Vol.3 No.12, 2011
has been cited by the following article(s):
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[3] An eddy current convergence probe with copper core and single detection coil to detect flaws on aluminum plates
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[4] Limitations of eddy current inspection for the characterization of near-surface cracks in railheads
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[5] A review on Non-Destructive Methods for Detecting Cracks in Tracks
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[6] Quantitative evaluation of the rotational stiffness of rail cracks based on the reflection of guided waves
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[7] A review on rail defect detection systems based on wireless sensors
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[8] Rail Sample Laboratory Evaluation of Eddy Current Rail Inspection Sustainable System
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[9] CUFuse: Camera and ultrasound data fusion for rail defect detection
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[11] Effects of curvature radius on flexible eddy current array sensors for the curved surface of metal components
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[12] Review of Emerging Technologies and Issues in Rail and Track Inspection for Local Lines in the United States
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[13] Dynamic Electromagnetic Thermography System for Rail Inspection
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[14] Eddy Current Probe Configuration for Full Rail Top Surface Inspection
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[15] A hybrid predictive methodology for head checks in railway infrastructure
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[16] A study on railway surface defects detection based on machine vision
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[18] Real-time rail defect detection with Eddy Current (EC) technique: signal processing and case studies of rail samples
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[19] Detection of Back-Side Cracks in Steel Structure Using A Differential Eddy Current Testing Probe
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[20] Diffuse ultrasonic wave-based structural health monitoring for railway turnouts
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[22] Investigation on Velocity Effect in Pulsed Eddy Current Technique for Detection Cracks in Ferromagnetic Material
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[24] ResNet-based Image Classification of Railway Shelling Defect
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[25] Characterisation and probability of detection analysis of rolling contact fatigue cracks in rails using eddy current pulsed thermography
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[26] Structural health monitoring of high-speed railway tracks using diffuse ultrasonic wave-based condition contrast: theory and validation
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[30] Ultrasonic phased array measurement of near-surface cracks in the railhead.
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[36] Design and Characterization of PCB based Planar Coil Eddy Current Probes
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[47] Multi-level condition-based maintenance planning for railway infrastructures–A scenario-based chance-constrained approach
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[48] Using signals of special form in multi-frequency eddy current testing
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[49] Resolution of effects in multi-frequency eddy current data for reliable diagnostics of conductive materials
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[52] Автоматизированный вычислительно-измерительный комплекс для многочастотной вихретоковой диагностики металлических материалов
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[54] Limitations of eddy current inspection in railway rail evaluation
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[56] Применение метода главных компонент при вихретоковом контроле алюминиевых сплавов
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[57] A New Inspection Method Based on RGB-D Profiling
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[58] Investigation Of Rail Defects Using An Ultrasonic Inspection Method: A Case Study Of Aksaray-Airport Light Rail Transit Line In Istanbul
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[59] Inspection of aluminum alloys by a multi-frequency eddy current method
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[60] RAIL CRACK DETECTION SYSTEM USING IR MODULE
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[61] Damage Allocation for Railway Rails using PZT Sensors for Proceedings
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[62] The application of principal-component analysis during eddy-current testing of aluminum alloys
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[63] Rail Damage Detection Based on AE Technology and Wavelet Data Processing
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[65] Ray Kusurlarının Örnek Hat Üzerinde Ultrasonik Yöntemle İncelenmesi Ve Ray Gerilmelerinin Belirlenmesi
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[66] Arduino based Automatic Rail Crack Detection Scheme
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[67] Modeling and Simulation of Defects Due to corrosion in Turbine Blades of Turbojet
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[69] Automatic Broken Rail Crack Detection Scheme
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[71] Rail Damage Detection Based on AE Technology and Wavelet Data Processing.
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[72] Identification of Material Defects in Metallic Materials Using Lorentz Force Eddy Current Testing-Fundamentals, Metrological Implementation and Verification
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