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Dive into the research topics where A. Eftekhari Milani is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Gearbox bearing crack growth prognostics and uncertainty quantification with physics-informed machine learning
De Florio, M., Appleby, G., Keller, J., Eftekhari Milani, A., Zappalá, D. & Sheng, S., 2026, In: Wind Energy Science. 11, 3, p. 737–752 16 p.Research output: Contribution to journal › Article › Scientific › peer-review
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A hybrid Convolutional Autoencoder training algorithm for unsupervised bearing health indicator construction
Milani, A. E., Zappalá, D. & Watson, S. J., 2025, In: Engineering Applications of Artificial Intelligence. 139, 16 p., 109477.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile9 Link opens in a new tab Citations (Scopus)88 Downloads (Pure) -
Simulating run-to-failure SCADA time series to enhance wind turbine fault detection and prognosis
Eftekhari Milani, A., Zappalá, D., Castellani, F. & Watson, S. J., 2025, In: Wind Energy Science. 10, 11, p. 2563–2576 14 p.Research output: Contribution to journal › Article › Scientific › peer-review
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Boosting field data using synthetic SCADA datasets for wind turbine condition monitoring
Milani, A. E., Zappalá, D., Castellani, F. & Watson, S., 2024, In: Journal of Physics: Conference Series. 2767, 3, 11 p., 032033.Research output: Contribution to journal › Conference article › Scientific › peer-review
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Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation
Barber, S., Izagirre, U., Serradilla, O., Olaizola, J., Zugasti, E., Aizpurua, J. I., Eftekhari Milani, A., Sehnke, F., Sakagami, Y. & Henderson, C., 2023, In: Energies. 16, 8, 23 p., 3567.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile9 Link opens in a new tab Citations (Scopus)203 Downloads (Pure)