Kolmogorov-Smirnov test for rolling bearing performance degradation assessment and prognosis

被引:42
|
作者
Cong, Feiyun [1 ]
Chen, Jin [1 ]
Pan, Yuna [1 ]
机构
[1] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
AR model; condition monitoring; Kolmogorov-Smirnov test; performance degradation assessment; prognosis; CONDITION-BASED MAINTENANCE; FAULT-DIAGNOSIS; ELEMENT BEARING; STATISTICAL MOMENTS; SPECTRAL KURTOSIS; VIBRATION; SIGNALS; MODEL; MACHINE; GEAR;
D O I
10.1177/1077546310384003
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Exploring an effective assessment index is significant for performance degradation assessment, which has been proposed to realize equipments' near-zero downtime and maximum productivity. In this paper, the Kolmogorov-Smirnov test based on an autoregressive model is proposed to assess the performance degradation of rolling bearings. Accelerated life test (in Hangzhou Bearing Test and Research Center) of rolling bearings was performed to collect vibration data over a whole lifetime (normal-fault-failure). The result shows that the Kolmogorov-Smirnov test method can obviously detect incipient weak defects and can reflect performance degradation process well. In particular, it can detect abnormal stages earlier before the bearing steps into failure, which is significant in condition maintenance and prognosis.
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页码:1337 / 1347
页数:11
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