Ali Eftekhari Milani

Delft University of Technology — Netherlands

Engineering · Physical Sciences

4h-index45citations13works2.22yr avg
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Research Topics

Machine Fault Diagnosis Techniques(7), Fault Detection and Control Systems(2), Energy Load and Power Forecasting(2), Gear and Bearing Dynamics Analysis(2), Advanced Measurement and Metrology Techniques(2)

Publications13 total

Simulating run-to-failure SCADA time series to enhance wind turbine fault detection and prognosis
Wind energy science·2025· 1 citedOpen Access
Gearbox Bearing Crack Growth Prognostics with Physics-Informed Machine Learning and Uncertainty Quantification
2025Open Access
Response to Comments from the Associate Editor and Reviewers
2025Open Access
Simulating run-to-failure SCADA time series to enhance wind turbine fault detection and prognosis
2025Open Access
A hybrid Convolutional Autoencoder training algorithm for unsupervised bearing health indicator construction
Engineering Applications of Artificial Intelligence·2024· 8 citedOpen Access
Boosting field data using synthetic SCADA datasets for wind turbine condition monitoring
Journal of Physics Conference Series·2024· 4 citedOpen Access
Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation
Energies·2023· 7 citedOpen Access
Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation
Preprints.org·2023· 3 citedOpen Access
Wrapper Selection of Features for Fault Diagnostics of Truss Structures
2022Open Access
Wrapper Selection of Features for Fault Diagnostics of Truss Structures
2022
Damage Detection in Truss Structures Supporting Pipelines and Auxiliary Equipment in Power Plants
2021
A Coevolutionary Optimization Approach with Deep Sparse Autoencoder for the Extraction of Equipment Degradation Indicators
Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference·2020· 2 citedOpen Access
Considering variations of network topology in optimal relay coordination using time-current-voltage characteristic
2017· 20 cited

Frequent Co-authors

Donatella Zappalá(5), Simon Watson(4), Piero Baraldi(4), Enrico Zio(4), Francesco Castellani(3), Antonio Palermo(3), Alessandro Marzani(3), Sarah Barber(2), Oscar Serradilla(2), Ekhi Zugasti(2), Frank Sehnke(2), Yoshiaki Sakagami(2), Charles Henderson(2), Mohammad N. Juybari(2), Navid Bayati(1), Akbar Dadkhah(1), S.H.H. Sadeghi(1), Behrooz Vahidi(1), Unai Izagirre(1), Jon Olaizola(1)