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Meryem Abtane
Observed names:
Abtane Meryem,
Abtane, Meryem
Institutions:
Centre National de la Recherche Scientifique,
Université de Pau et des Pays de l'Adour,
Institut des Sciences Analytiques et de Physico-Chimie pour l'Environnement et les Matériaux,
Ecole Centrale Casablanca
Observed institutions:
Centre National de la Recherche Scientifique,
Université de Pau et des Pays de l'Adour,
Institut des Sciences Analytiques et de Physico-Chimie pour l'Environnement et les Matériaux,
Ecole Centrale Casablanca
ORCID:
0009-0003-8466-1921
Observed ORCID:
0009-0003-8466-1921
OpenAlex ID:
A5116605483
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
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
Time-Frequency Analysis and Deep CNN-Based Fault Diagnosis for Rotating Machinery Under Variable Operating Conditions
2025
·
Iman Makrouf
, Khalid Dahi
, et al.
·
International Conference on Control, Automation and Diagnosis (ICCAD)
·
2
Comparative Study of Decision-Level Fusion Strategies for Multi-Sensor CNN-Based Bearing Fault Diagnosis
2026
·
Iman Makrouf
, Mourad Zegrari
, et al.
·
Entropy
·
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
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
Rotating machinery fault diagnosis using feature mode decomposition and bidirectional cross-attention for multi-sensor fusion
2026
·
Iman Makrouf
, Mourad Zegrari
, et al.
·
Measurement
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
Simplified illustration of my PhD research topic: diagnosis of axle bearing faults in high-speed trains
2024
·
Abtane, Meryem
·
HAL
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Works count:
12
Citation count:
55
H-index:
2
I10-index:
1
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