Equipment performance degradation assessment is the complete development of existing fault diagnosis techniques. It can give effective reference to the intelligent proactive maintenance to realize near-zero downtime. Carrying out the research of performance degradation assessment, we can realize the predictive maintenance for the equipment which can improve the reliability of the equipment. Kolmogorov-Smirnov test based on AR model is proposed by this paper. According to the analysis of data from rolling bearing’s whole life time (normal-fault-failure), the proposed method can effectively realize the performance degradation assessment and prognosis to the bearings. Compared with traditional method, it can not only obviously detect incipient weak defect and indicate performance degradation process but also detect abnormal stage earlier before the bearing steps into failure in some conditions. This point is significant in condition maintenance and prognosis.
从飞云;陈进;董广明. 基于AR模型的Kolmogorov-Smirnov检验性能退化及预测研究[J]. , 2012, 31(10): 79-82.
Cong Fei-yun;Chen Jin;Dong Guang-ming. Kolmogorov-Smirnov test Performance Degradation Assessment and Prognosis based on AR Model. , 2012, 31(10): 79-82.