Abstract: A more effective fuzzy membership based on samples’ affinity function was investigated for the measurement of the samples inaccuracy through synthesizing the advantages between the fuzzy theory and SVM under applying membership to SVM. And the method was applied to some aeroengine vibration fault analysis, and a better diagnosis mathematical model was established based on FSVM. And then the model was used to fault diagnosis of aeroengine whole-body vibration. The result of analysis reveal that this method doesn’t has the better diagnosing accurate rate, but also takes on good ability to overcome the noise, and a novel analytical technique for aeroengine whole-body vibration fault to be determined rapidly is provided.