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Defect inspection on flat surfaces and weld zones utilizing an FEC sensor and crack signal processing with the MSSA method
Get PDFThis study investigates the application of a Flexible Eddy Current (FEC) sensor for detecting defects on flat surfaces and weld zones. The sensor shows strong adaptability, enabling it to identify cracks of varying sizes in both aluminum and steel plates, including areas around weld zones that are typically difficult to inspect. To improve accuracy, Multivariate Singular Spectrum Analysis (MSSA) was applied to enhance the signal-to-noise ratio (S/N ratio). This approach reduces background noise and separates crack signals from the interference caused by weld zones. By decomposing the signals into their principal components, MSSA isolates the key data related to cracks while suppressing noise signals, resulting in more dependable detection
Yokohama National University Organization for Local Collaboration Networking Global-Local Education and Research Center Annual Report 2024-2025
Get PDF<Articles>Scheidung durch der Einigung der Parteien entsprechende Entscheidung im japanischen internationalen Privatrecht
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Risk assessment and reduction measures for derailment of whole high-speed railway lines during an earthquake
Get PDF横浜国立大学博士（工学）Doctor of Engineerin
多島海地域にある延長10kmの瀬戸大橋周辺のWRF-LESによる強風時風環境解析
Get PDF横浜国立大学博士（工学）Doctor of EngineeringThe full text of this thesis is available for viewing at the Central Library upon request by 5:00 p.m. on weekdays.この学位論文の全文は、中央図書館で平日17時までに申請することで閲覧が可能です
Human neural organoids for neurovascular interaction analysis
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Study of SF cask behavior under the drop test based on the acceleration data
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