Residual Generator Fuzzy Identification for Wind Farm Fault Diagnosis

@inproceedings{Simani2014ResidualGF,
  title={Residual Generator Fuzzy Identification for Wind Farm Fault Diagnosis},
  author={Silvio Simani and Saverio Farsoni and Paolo Castaldi},
  year={2014}
}
In the recent years the wind turbine industry has focused on optimising the cost of energy. One of the important factors in the achievement of this task consists of increasing the reliability of the wind turbines, which can be obtained using advanced fault detection and isolation strategies. Clearly, most faults are managed quite easily at a wind turbine control level. However, some faults are better dealt with at wind farm level, when the wind turbine is located in a wind farm. This paper aims… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 19 references

A data–driven approach

  • A. Verma
  • 2010
Highly Influential
6 Excerpts

Active Actuator Fault Tolerant Control of a Wind Turbine Benchmark Model

  • S. Simani, P. Castaldi.
  • 2013

Fault detection and isolation of the wind turbine benchmark : An estimation – based approach

  • Q. Zhang X. Zhang, S. Zhao, R. M. G. Ferrari, M. M. Polycarpou, T. Parisini
  • Proceedings of the 18 th IFAC World Congress
  • 2011

The prediction and diagnosis of wind

  • W. Li
  • 2011
1 Excerpt

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