Based on the function level of a gas turbine generator, this paper presents a method for the quantitative assessment of the health condition of a gas turbine generator by using fuzzy comprehensive assessment (Fuzzy) and an analysis hierarchy process (AHP). First, the failure mode, effects and criticality analysis method (FMECA) is used to construct the assessment framework and obtain the indicator set for the health assessment. The membership degree of each indicator is realized by using triangular and trapezoidal membership functions. Second, the fuzzy comprehensive assessment model with analysis hierarchy process (Fuzzy-AHP) is established to implement the quantitative assessment of the health condition of the gas turbine generator, and the man-made influence on the weight assignment is decreased. Finally, an example of a three-shaft gas turbine generator health assessment is provided to validate and prove that the method is effective and feasible.
