Fault feature selection method based on fuzzy preference relation

Based on the research of classical clustering algorithm, a sensitive feature selection method based on fuzzy preference relation is proposed in this paper. The method selects sensitive features by calculating fuzzy relation and sensitivity coefficient. The experimental results show that the proposed method reduces the feature dimension and simplifies the feature set. Combined with hierarchical clustering algorithm, it achieves high fault diagnosis accuracy.