Improved fuzzy membership method in FSVM for aeroengine vibration performance fusion analysis

To master more effectively the impact factors on an aeroengine whole-body vibration performance, the improved Fuzzy Support Vector Machine (FSVM) information entropy technique was proposed. Firstly, the computing model of multi-class fuzzy membership was established based on the improved fuzzy membership of FSVM and the information entropy theory. And secondly, this method was applied to the aeroengine vibration performance evaluation, and the multi-parameter vibration performance analysis model was developed and the relationship between fault modes and fault causes was determined. Thus, aeroengine overall vibration performance was quantitatively analyzed and a quantitative reference index was provided for aeroengine vibration control. Finally, the validity and feasibility of this method in aeroengine whole-body vibration performance analysis were validated by mean of the fusion analysis of example.