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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


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Last updated: 2021-11-10