Abstract
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.
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 language | English |
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| Title of host publication | The 3rd International Workshop & Congress on eMaintenance |
| Publisher | Luleå tekniska universitet |
| Pages | 49-54 |
| Number of pages | 6 |
| ISBN (Print) | 978-91-7439-972-1, 978-91-7439-973-8 |
| Publication status | Published - Jun 2014 |
| Externally published | Yes |
| Event | 3rd international workshop and congress on eMaintenance - Lulea, Switzerland Duration: 16 Jun 2014 → 18 Jun 2014 |
Conference
| Conference | 3rd international workshop and congress on eMaintenance |
|---|---|
| Country/Territory | Switzerland |
| City | Lulea |
| Period | 16/06/14 → 18/06/14 |