Data driven case study of a wind turbine main-bearing failure

Elisha de Mello; Georgios Kampolis; Edward Hart; Daryl Hickey; Iain Dinwoodie; James Carroll; Rob Dwyer-Joyce; Ampea Boateng

doi:10.1088/1742-6596/2018/1/012011

Data driven case study of a wind turbine main-bearing failure

Elisha de Mello, Georgios Kampolis, Edward Hart, Daryl Hickey, Iain Dinwoodie, James Carroll, Rob Dwyer-Joyce, Ampea Boateng

Research output: Contribution to journal › Conference Contribution › peer-review

3 Citations (Scopus)

14 Downloads (Pure)

Abstract

This paper presents a data driven case study of two outer-race spalling faults in double-row spherical roller main-bearings, with the purpose of identifying key features and relevant measurements associated with this failure mode in wind turbine main-bearings. Supervisory data is analysed for one fault case and vibration data for the other. The aim of this work is to inform practitioners and assist in improving fault detection systems for this component.

Original language	English
Article number	012011
Number of pages	11
Journal	Journal of Physics: Conference Series
Volume	2018
DOIs	https://doi.org/10.1088/1742-6596/2018/1/012011
Publication status	Published - 1 Sept 2021
Event	EERA 18th Deep Sea Offshore Wind R&D Conference: 18th Deep Sea Offshore Wind R&D Conference - Online Duration: 13 Jan 2021 → 15 Jan 2021 https://www.eerajpwind.eu/events/eera-deepwind-conference-2021/ https://www.sintef.no/projectweb/eera-deepwind/

Keywords

wind turbine
bearing failure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1088/1742-6596/2018/1/012011Licence: CC BY 3.0

de-Mello-etal-EERA-2021-Data-driven-case-study-of-a-wind-turbine-mainFinal published version, 909 KBLicence: CC BY 3.0

Cite this

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title = "Data driven case study of a wind turbine main-bearing failure",

abstract = "This paper presents a data driven case study of two outer-race spalling faults in double-row spherical roller main-bearings, with the purpose of identifying key features and relevant measurements associated with this failure mode in wind turbine main-bearings. Supervisory data is analysed for one fault case and vibration data for the other. The aim of this work is to inform practitioners and assist in improving fault detection systems for this component.",

keywords = "wind turbine, bearing failure",

author = "{de Mello}, Elisha and Georgios Kampolis and Edward Hart and Daryl Hickey and Iain Dinwoodie and James Carroll and Rob Dwyer-Joyce and Ampea Boateng",

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note = "EERA 18th Deep Sea Offshore Wind R&D Conference : 18th Deep Sea Offshore Wind R&D Conference, EERA DeepWind'2021 ; Conference date: 13-01-2021 Through 15-01-2021",

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TY - JOUR

T1 - Data driven case study of a wind turbine main-bearing failure

AU - de Mello, Elisha

AU - Kampolis, Georgios

AU - Hart, Edward

AU - Hickey, Daryl

AU - Dinwoodie, Iain

AU - Carroll, James

AU - Dwyer-Joyce, Rob

AU - Boateng, Ampea

PY - 2021/9/1

Y1 - 2021/9/1

N2 - This paper presents a data driven case study of two outer-race spalling faults in double-row spherical roller main-bearings, with the purpose of identifying key features and relevant measurements associated with this failure mode in wind turbine main-bearings. Supervisory data is analysed for one fault case and vibration data for the other. The aim of this work is to inform practitioners and assist in improving fault detection systems for this component.

AB - This paper presents a data driven case study of two outer-race spalling faults in double-row spherical roller main-bearings, with the purpose of identifying key features and relevant measurements associated with this failure mode in wind turbine main-bearings. Supervisory data is analysed for one fault case and vibration data for the other. The aim of this work is to inform practitioners and assist in improving fault detection systems for this component.

KW - wind turbine

KW - bearing failure

UR - https://iopscience.iop.org/journal/1742-6596

U2 - 10.1088/1742-6596/2018/1/012011

DO - 10.1088/1742-6596/2018/1/012011

M3 - Conference Contribution

SN - 1742-6596

VL - 2018

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

M1 - 012011

T2 - EERA 18th Deep Sea Offshore Wind R&D Conference

Y2 - 13 January 2021 through 15 January 2021

ER -

Data driven case study of a wind turbine main-bearing failure

Abstract

Keywords

UN SDGs

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