Assessment of Lost Production:using Empirical Remaining-Power-Generation in Turbine Main Bearing Failure Monitoring

Autor: Herp, Jürgen, Pedersen, Niels L., S. Nadimi, Esmaeil

Publikováno v: Herp, J, Pedersen, N L & S. Nadimi, E 2020, ' Assessment of Lost Production : using Empirical Remaining-Power-Generation in Turbine Main Bearing Failure Monitoring ', Resource Assessment & Analysis of Operating Wind Farms, 09/06/2020-10/06/2020 .

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3062::b71880f09162039ef843a29f5edf9e5b
https://portal.findresearcher.sdu.dk/da/publications/6a63b577-be69-4bf9-811d-448ea1d68fab

A Novel Probabilistic Long-Term Fault Prediction Framework Beyond SCADA Data - With Applications in Main Bearing Failure

Autor: Herp, Jürgen, Pedersen, Niels L., S. Nadimi, Esmaeil

Publikováno v: Herp, J, Pedersen, N L & S. Nadimi, E 2019, ' A Novel Probabilistic Long-Term Fault Prediction Framework Beyond SCADA Data-With Applications in Main Bearing Failure ', Journal of Physics: Conference Series (Online), vol. 1222 . https://doi.org/10.1088/1742-6596/1222/1/012043

Prognostic and health monitoring addresses the issue of detecting faults and monitoring the current state of a wind turbine. Details about the fault's progression, and from there, the remaining useful lifetime, are key features in monitoring and indu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3062::18a089a93312263e764fdd9440842b3e
https://findresearcher.sdu.dk:8443/ws/files/152021885/A_Novel_Probabilistic_Long_Term_Fault_Prediction_Framework_Beyond_SCADA_Data.pdf

On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool

Autor: Majtner, Tomas, Bajic, Buda, Lindblad, J, Sladoje, N, Blanes-Vidal, Victoria, S. Nadimi, Esmaeil

Publikováno v: Majtner, T, Bajic, B, Lindblad, J, Sladoje, N, Blanes-Vidal, V & S. Nadimi, E 2019, On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool . in M Felsberg, P-E Forssén, I-M Sintorn & J Unger (eds), Image Analysis : Proceedings of the 21st Scandinavian Conference, SCIA 2019 . Springer, Lecture Notes in Computer Science, vol. 11482, Image processing, computer vision, pattern recognition and graphics, pp. 439-451, 21st Scandinavian Conference on Image Analysis, SCIA 2019, Norrköping, Sweden, 11/06/2019 . https://doi.org/10.1007/978-3-030-20205-7_36

One of the big challenges in the recognition of biomedical samples is the lack of large annotated datasets. Their relatively small size, when compared to datasets like ImageNet, typically leads to problems with efficient training of current machine l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3062::12635ea2f18634308fdd7454cdb532fa
https://findresearcher.sdu.dk:8443/ws/files/157167578/scia2019.pdf

A novel adaptive localization technique for wireless capsule endoscopy

Autor: Farhadi, Hamed, S. Nadimi, Esmaeil, Atai, Javid, Pahlavan, Kaveh, Skogslund, Mikael, Tarokh, Vahid

Publikováno v: Farhadi, H, S. Nadimi, E, Atai, J, Pahlavan, K, Skogslund, M & Tarokh, V 2015, ' A novel adaptive localization technique for wireless capsule endoscopy ', Surgical Endoscopy, vol. 29, no. Supplement 1, P032, pp. S411 . https://doi.org/10.1007/s00464-015-4130-0

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3062::b7a6b89d9a465f770c56b30cc96bad2c
https://portal.findresearcher.sdu.dk/da/publications/3a8ccc2e-caaa-466f-ae5c-c9753ad410bc