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Author

Sedki Mohamed

Observed names: MOHAMED, Sedki, Mohamed Sedki, SEDKI Mohamed, Sedki, Mohamed
Observed institution: Moroccan National Railways Office
ORCID: 0009-0006-0853-3372
Observed ORCID: 0009-0006-0853-3372
OpenAlex ID: A5079334767
Axle bearing fault diagnosis for high-speed trains: A comprehensive review of methodologies, technologies, challenges and emerging trends
2025 · Meryem Abtane, Khalid Dahi, et al. · Measurement · 48
A systematic review of different adoption strategies for augmented reality in maintenance: bridging theory and practice
2025 · Tayyarat Oumaima, Ahmadi Abdeslam, et al. · Discover Applied Sciences · 3
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Enhanced Fault Detection in High-Speed Train Axle Bearings Using Time-Frequency Based Statistical Features: A Test Bench Approach
2025 · Meryem Abtane, Khalid Dahi, et al. · Sustainable civil infrastructures · 3
Applications of Artificial Intelligence and Remote Sensing in Environmental and Agricultural Engineering: A Comprehensive Review
2025 · ELWAHAB, Fathalah, ZIRI, Rabea, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
Enhanced Fault Detection in High-Speed Train Bearings Using Empirical Mode Decomposition (EMD) and Kurtosis-Based IMF Selection: A Test Bench Approach
2025 · Meryem Abtane, Khalid Dahi, et al. · Science and Technology for Energy Transition · 1
The Integrity of Encryption Keys of European Train Control System Sessions During an Offline Loading
2019 · TALEBI Najoua, CHAOUI Habiba, et al. · Mediterranean Congress of Telecommunications (CMT) · 1
Multi-channel data fusion and lightweight 1D-CNN for compound axle bearing fault diagnosis in bogie systems
2026 · Meryem Abtane, Khalid Dahi, et al. · Railway Sciences
A Five-Step MCDM Framework for AR Use Case Selection in Railway Maintenance
2026 · Tayyarat Oumaima, Abdeslam Ahmadi, et al. · Applied Sciences
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Augmented Reality and Reinforcement Learning for High-Speed Train Maintenance
2026 · Tayyarat, Oumaima, Ahmadi Abdeslam, et al.
Enhanced fault detection in high-speed train bearings using Empirical Mode Decomposition (EMD) and kurtosis-based IMF selection: a test bench approach
2026 · Abtane Meryem, Dahi Khalid, et al. · DOAJ (DOAJ: Directory of Open Access Journals)
High-Speed Train Axle Bearing Fault Detection Using Signal Decomposition and Weighted Statistical Features: Application to Test Bench Bearings
2025 · Meryem Abtane, Khalid Dahi, et al. · International Conference on Control, Automation and Diagnosis (ICCAD)
Enhanced Fault Detection in High-Speed Train Bearings Using Empirical Mode Decomposition (EMD) and Kurtosis-Based IMF Selection: A Test Bench Approach
2025 · Meryem Abtane, Khalid Dahi, et al. · Springer Link (Chiba Institute of Technology)
Diagnosis and Prognosis of High-Speed Train Axle Bearing Fault Through Acoustic Signal Analysis (AE-DeepDiag)
2024 · Abtane, Meryem, Dahi, Khalid, et al. · HAL
Works count: 16
Citation count: 57
H-index: 3
I10-index: 1
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