Automated Design of an FDI-System for the Wind Turbine Benchmark
Present paper proposes an FDI-system for the wind turbine benchmark designed
by application of a generic automated design method, in which the number of required human
decisions and assumptions are minimized. No specific adaptation of the method for the wind
turbine benchmark is needed, and the number of parameter choices is small. The method
contains in essence three steps: generation of potential residual generators; residual generator
selection; and diagnostic test construction. The second and third step are based on novel ideas
developed in this paper; a greedy selection algorithm for the second step, and a methodology
based on the Kullback-Leibler divergence for the third step. The proposed FDI-system performs
well in spite of no specific adaptation or tuning to the benchmark. All faults in the pre-defined
test sequence can be detected and all faults, except a double fault, can also be isolated shortly
thereafter. In addition, there are no false or missed detections.
Carl Svärd and Mattias Nyberg
2011
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