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In this paper the problem of fault diagnosis for gas turbine blade is investigated, the signal processing technology is used to analyze the principle of gas turbine fault, the no fault model is small deviations, the variation of parameters deviation is isolated, the faults coefficient matrix is used to link the measured parameters deviation and performance deviation, the relative changes of some parameters...
In this paper, a fault diagnosis scheme for gas turbine blade is developed. The proposed system is based on the artificial bee colony algorithm optimize relevance vector machine (ABC-RVM) to accomplish this goal. First the characteristics extraction was researched, then Then ABC-RVM is used for the intelligent fault diagnosis and health warning provides scientific theory and effective method for the...
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