关键词: 离群点检测, 邻域粗糙集, 性能参数相关关系, 退化评估, 机械产品

Abstract: Product performance degradation assessment is the key stage of product health operation and residual life assessment.An assessment approach of product performance degradation based on outlier detection was proposed to achieve fast and real-time assessment.The correlation between performance monitoring parameters was determined based on the neighborhood rough set theory and functional and structural relevance.Then,the degradation index of performance parameters was constructed according to the knowledge contained in the correlations among them.Considering that the performance state representation of product function module was impacted by multiple performance parameters,the performance parameters were weighted by principal component analysis.The degradation score of a product function module was obtained by considering multiple performance parameters.Taking the wind turbine as an example,the effectiveness of the proposed approach was verified by comparative analysis.

Key words: outlier detection, neighborhood rough set, correlation of performance parameters, degradation assessment, mechanical product