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Ali Dibaj
Ali Dibaj
Data Scientist at B&K Vibro | Ph.D. candidate at NTNU
Verified email at ntnu.no - Homepage
Title
Cited by
Cited by
Year
A hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults
A Dibaj, MM Ettefagh, R Hassannejad, MB Ehghaghi
Expert Systems with Applications 167, 114094, 2021
1392021
Incipient fault diagnosis of bearings based on parameter-optimized VMD and envelope spectrum weighted kurtosis index with a new sensitivity assessment threshold
A Dibaj, R Hassannejad, MM Ettefagh, MB Ehghaghi
ISA transactions 114, 413-433, 2021
792021
Fine-tuned variational mode decomposition for fault diagnosis of rotary machinery
A Dibaj, MM Ettefagh, R Hassannejad, MB Ehghaghi
Structural Health Monitoring 19 (5), 1453-1470, 2020
392020
Fault detection of offshore wind turbine drivetrains in different environmental conditions through optimal selection of vibration measurements
A Dibaj, Z Gao, AR Nejad
Renewable Energy 203, 161-176, 2023
142023
A data-driven approach for fault diagnosis of drivetrain system in a spar-type floating wind turbine based on the multi-point acceleration measurements
A Dibaj, AR Nejad, Z Gao
Journal of Physics: Conference Series 2265 (3), 032096, 2022
32022
A class-imbalance-aware domain adaptation framework for fault diagnosis of wind turbine drivetrains under different environmental conditions
B Lu, A Dibaj, Z Gao, AR Nejad, Y Zhang
Ocean Engineering, 116902, 2024
22024
Damage detection of Pelamis power take-off based on discrete model
MM Ettefagh, B Medghalchi, A Dibaj
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2017
12017
Unsupervised anomaly detection of permanent magnet offshore wind generators through electrical and electromagnetic measurements
A Dibaj, M Valavi, AR Nejad
Wind Energy Science Discussions 2024, 1-32, 2024
2024
Bearing damage dataset for the 5 MW reference drivetrain installed on three different types of wind turbines: floating spar, floating TLP, and land-based
A Dibaj, AR Nejad
Zenodo, 2024
2024
Bearings damage dataset for the 5 MW reference drivetrain on spar type floating wind turbine
A Dibaj, AR Nejad
Zenodo, 2023
2023
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