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 journalConference Contributionpeer-review

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 languageEnglish
Number of pages10
JournalJournal of Physics: Conference Series
Publication statusAccepted/In press - 24 Jun 2021
EventEERA DeepWind 2021 -
Duration: 19 Jan 2022 → …
https://www.sintef.no/projectweb/eera-deepwind/

Keywords

  • wind turbine
  • bearing failure

Fingerprint

Dive into the research topics of 'Data driven case study of a wind turbine main-bearing failure'. Together they form a unique fingerprint.

Cite this