Intelligent fault detection and analysis based on support vector machine and applications to Aeroengine

In this paper, the problem of intelligent fault detection for switched systems is investigated based on SVM. In order to illustrate the ability of SVM in distinguishing normal and faulty systems, a model-based analysis method is introduced in this paper. Different from the existing methods, this paper considers the influence of disturbance on the output data. The theoretical model of SVM is given, which can realize the fuzzy distinction between normal and fault system data, and describe the indistinguishable region affected by disturbance. Finally, one numerical model of aeroengine is used to illustrate the effectiveness of the proposed analysis.