Journal article
Prognosis of the Remaining Useful Life of Bearings in a Wind Turbine Gearbox
Energies (Basel), Vol.10(1), pp.32-32
12/31/2016
DOI: 10.3390/en10010032
Abstract
Predicting the remaining useful life (RUL) of critical subassemblies can provide an advanced maintenance strategy for wind turbines installed in remote regions. This paper proposes a novel prognostic approach to predict the RUL of bearings in a wind turbine gearbox. An artificial neural network (NN) is used to train data-driven models and to predict short-term tendencies of feature series. By combining the predicted and training features, a polynomial curve reflecting the long-term degradation process of bearings is fitted. Through solving the intersection between the fitted curve and the pre-defined threshold, the RUL can be deduced. The presented approach is validated by an operating wind turbine with a faulty bearing in the gearbox
Details
- Title: Subtitle
- Prognosis of the Remaining Useful Life of Bearings in a Wind Turbine Gearbox
- Creators
- Wei TengXiaolong ZhangYibing LiuAndrew KusiakZhiyong Ma
- Resource Type
- Journal article
- Publication Details
- Energies (Basel), Vol.10(1), pp.32-32
- DOI
- 10.3390/en10010032
- ISSN
- 1996-1073
- eISSN
- 1996-1073
- Language
- English
- Date published
- 12/31/2016
- Academic Unit
- Industrial and Systems Engineering; Nursing
- Record Identifier
- 9984186587802771
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