Wind turbine gearbox ice sensing and condition monitoring for fault prognosis and diagnosis

Lian, Yiqing and Pattison, David and Kenyon, Andrew and Segovia Garcia, Maria Del Carmen and Quail, Francis; (2013) Wind turbine gearbox ice sensing and condition monitoring for fault prognosis and diagnosis. In: Proceedings of COMADEM 2013, International Congress of Condition Monitoring and Diagnostics Engineering Management. COMADEM International.

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Abstract

The gearbox is seen as one of the most important assets of a wind turbine, so a major concern is how to keep it running smoothly to maximise its service time and reduce the cost. However, wind turbines are often located at remote locations where icing is possible and likely, e.g. high altitudes or cold regions. This challenges the wind turbine stability and causes a variety of problems. Furthermore, rapid expansion of wind energy, along with high operation and maintenance costs, all lead to the need for a condition monitoring system which can offer diagnostics of present condition and prognostics of future condition to improve the reliability of wind turbine and reduce the cost of unscheduled maintenances and unexpected failures. The proposed approach is demonstrated by using a Bayesian Belief Network and Dynamic Bayesian Network under LabVIEW and GeNIe respectively. The proposed procedure is applied on a wind turbine gearbox model to show its feasibility.

ORCID iDs

Lian, Yiqing ORCID logoORCID: https://orcid.org/0000-0001-7761-3698, Pattison, David ORCID logoORCID: https://orcid.org/0000-0003-0847-4422, Kenyon, Andrew, Segovia Garcia, Maria Del Carmen ORCID logoORCID: https://orcid.org/0000-0002-9210-3175 and Quail, Francis;
CORE (COnnecting REpositories)