关键词: 聚类算法, 性能衰退评估, 数据驱动方法, 轴承

Abstract: Aiming at the problems that the occurrence time and evolution process of bearing performance degradation were difficult to be identified,a novel performance degradation analysis and assessment method was proposed based on fuzzy C-means clustering algorithm.A data-driven approach was presented to analyze bearing performance degradation process.A fuzzy C-means clustering algorithm was developed to assess the bearing performance degradation,And the process of bearing performance degradation assessment was given.A case study about a rolling bearing was implemented,and the conclusion was showed that the proposed method could better identify the occurrence time of performance degradation and assess the level of performance degradation.

Key words: clustering algorithms, performance degradation evaluation, data driven approach, bearing