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Trend Prediction of Oil Temperature for Wind Turbine Gearbox Based on Grey Theory

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Emerging Research in Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 237))

Abstract

Considering the stochastic volatility of the wind turbine gearbox oil temperature, the wavelet packet is used to eliminate its noise. On this basis, the grey model is applied to forecast the wind turbine gearbox oil temperature. The predicted results show that the wavelet packet and the grey prediction method have better forecast accuracy. The wind turbine gearbox oil temperature trends can be predicted timely and accurately.

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References

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Author information

Authors and Affiliations

  1. Taiyuan University of Technology, Taiyuan, China

    Wang Rui & Li Gang

Authors
  1. Wang Rui
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  2. Li Gang
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Editor information

Editors and Affiliations

  1. School of Business Information technology, RMIT University, GPO Box 2476V, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  2. Department of Computer Science and Technology, Tongji University, Shanghai, China

    Duoqian Miao

  3. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan, Hong Kong, SAR, China

    Fu Lee Wang

  4. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

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© 2011 Springer-Verlag Berlin Heidelberg

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Rui, W., Gang, L. (2011). Trend Prediction of Oil Temperature for Wind Turbine Gearbox Based on Grey Theory. In: Deng, H., Miao, D., Wang, F.L., Lei, J. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2011. Communications in Computer and Information Science, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24282-3_38

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  • DOI: https://doi.org/10.1007/978-3-642-24282-3_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24281-6

  • Online ISBN: 978-3-642-24282-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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