Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches

Cédric Peeters; Pieter-Jan Daems; Timothy Verstraeten; Ann Nowe; Jan Helsen

Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches

Cédric Peeters, Pieter-Jan Daems, Timothy Verstraeten, Ann Nowe, Jan Helsen

Onderzoeksoutput: Conference paper › Research

1 Citaat (Scopus)

Originele taal-2	English
Titel	Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches
Uitgeverij	SHM2019
Pagina's	1-9
Aantal pagina's	9
Status	Published - 2019
Evenement	STRUCTURAL HEALTH MONITORING 2019: ENABLING INTELLIGENT LIFE-CYCLE HEALTH MANAGEMENT FOR INDUSTRY INTERNET OF THINGS (IIOT) - Stanford University, Stanford, United States Duur: 15 nov 2019 → …

Conference

Conference	STRUCTURAL HEALTH MONITORING 2019: ENABLING INTELLIGENT LIFE-CYCLE HEALTH MANAGEMENT FOR INDUSTRY INTERNET OF THINGS (IIOT)
Land/Regio	United States
Stad	Stanford
Periode	15/11/19 → …

Toegang tot document

https://www.dpi-proceedings.com/index.php/shm2019/article/view/32487

Citeer dit

Peeters, C., Daems, P-J., Verstraeten, T., Nowe, A., & Helsen, J. (2019). Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches. In Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches (blz. 1-9). SHM2019. https://www.dpi-proceedings.com/index.php/shm2019/article/view/32487

Peeters, Cédric ; Daems, Pieter-Jan ; Verstraeten, Timothy ; Nowe, Ann ; Helsen, Jan. / Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches. Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches. SHM2019, 2019. blz. 1-9

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title = "Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches",

author = "C{\'e}dric Peeters and Pieter-Jan Daems and Timothy Verstraeten and Ann Nowe and Jan Helsen",

year = "2019",

language = "English",

pages = "1--9",

booktitle = "Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches",

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Peeters, C , Daems, P-J , Verstraeten, T , Nowe, A & Helsen, J 2019, Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches. in Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches. SHM2019, blz. 1-9, STRUCTURAL HEALTH MONITORING 2019: ENABLING INTELLIGENT LIFE-CYCLE HEALTH MANAGEMENT FOR INDUSTRY INTERNET OF THINGS (IIOT), Stanford, United States, 15/11/19. <https://www.dpi-proceedings.com/index.php/shm2019/article/view/32487>

Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches. / Peeters, Cédric ; Daems, Pieter-Jan ; Verstraeten, Timothy ; Nowe, Ann ; Helsen, Jan.

Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches. SHM2019, 2019. blz. 1-9.

Onderzoeksoutput: Conference paper › Research

TY - GEN

T1 - Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches

AU - Peeters, Cédric

AU - Daems, Pieter-Jan

AU - Verstraeten, Timothy

AU - Nowe, Ann

AU - Helsen, Jan

PY - 2019

Y1 - 2019

M3 - Conference paper

SP - 1

EP - 9

BT - Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches

PB - SHM2019

Y2 - 15 November 2019

ER -

Peeters C , Daems P-J , Verstraeten T , Nowe A , Helsen J. Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches. In Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches. SHM2019. 2019. blz. 1-9