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Genetic Algorithm Systems for Wind Turbine Management

Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

In this paper, the importance of wind turbine renewable energy management is important. Wind turbine is sophisticated, expensive and complicated in nature. Fault diagnosis is vital for wind turbine healthy operational state for reliability that is of high priority prognostic for effective management system. A novel algorithm is proposed to optimise the observer monitoring system performance to support practical operation. Reducing unplanned maintenance costs for uninterrupted healthy reliable operations will aid the online monitoring of the turbine behaviour.

Keywords

Wind turbine Genetic algorithm Optimisation Observation 

Notes

Acknowledgement

The authors would like to thank Naijapals for their financial support towards this study and the supervisory team for their support.

References

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  1. 1.Faculty of Engineering and EnvironmentNorthumbria University NewcastleNewcastle-Upon-TyneUK
  2. 2.Faculty of Engineering and EnvironmentNorthumbria University NewcastleNewcastle-Upon-TyneUK

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