Failure Prediction of Tidal Turbines Gearboxes

Faris Elasha, David Mba, Joao Amaral Teixeira

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review


In order to truly minimize the maintenance cost and prevent failures of tidal turbine gearboxes, there exists a fundamental need for a prognostic tool that can reliably estimate the current health and reasonably predict the future condition of the gearbox. The research presented is aimed at developing a prognostic tool to predict the remaining life of the gearbox during operation and
utilise this tool for maintenance planning. A prognostic model for the remaining life prediction of a gearbox has been developed. This model utilises the data collected by a monitoring system to predict the future condition of the gearbox. The result showed that applying real load condition results in reduction of time to failure initiation compared to average condition.
Original languageEnglish
Title of host publicationThe 3rd International Workshop & Congress on eMaintenance
PublisherLuleå tekniska universitet
Number of pages6
ISBN (Print)978-91-7439-972-1, 978-91-7439-973-8
Publication statusPublished - Jun 2014
Externally publishedYes
Event3rd international workshop and congress on eMaintenance - Lulea, Switzerland
Duration: 16 Jun 201418 Jun 2014


Conference3rd international workshop and congress on eMaintenance


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