An Intelligent Data-Driven Machine Learning Approach for Fault Detection of Wind Turbines

F. Bilendo, H. Badihi, Ningyun Lu, P. Cambron, B. Jiang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

8 Citations (Scopus)

Original language	English
Title of host publication	2021 6th International Conference on Power and Renewable Energy, ICPRE 2021
DOIs	https://doi.org/10.1109/ICPRE52634.2021.9635340
Publication status	Published - 2021
Externally published	Yes
Publication type	A4 Article in conference proceedings
Event	International Conference on Power and Renewable Energy - Shanghai Duration: 17 Sept 2021 → …

Conference	International Conference on Power and Renewable Energy
City	Shanghai
Period	17/09/21 → …

Access to Document

@inproceedings{83da1020ddde41fb9d6995d834808fd8,

title = "An Intelligent Data-Driven Machine Learning Approach for Fault Detection of Wind Turbines",

author = "F. Bilendo and H. Badihi and Ningyun Lu and P. Cambron and B. Jiang",

year = "2021",

doi = "10.1109/ICPRE52634.2021.9635340",

language = "English",

booktitle = "2021 6th International Conference on Power and Renewable Energy, ICPRE 2021",

note = "International Conference on Power and Renewable Energy ; Conference date: 17-09-2021",

}

TY - GEN

T1 - An Intelligent Data-Driven Machine Learning Approach for Fault Detection of Wind Turbines

AU - Bilendo, F.

AU - Badihi, H.

AU - Lu, Ningyun

AU - Cambron, P.

AU - Jiang, B.

PY - 2021

Y1 - 2021

UR - https://www.scopus.com/pages/publications/85123681412

U2 - 10.1109/ICPRE52634.2021.9635340

DO - 10.1109/ICPRE52634.2021.9635340

M3 - Conference contribution

BT - 2021 6th International Conference on Power and Renewable Energy, ICPRE 2021

T2 - International Conference on Power and Renewable Energy

Y2 - 17 September 2021

ER -