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《Journal of Nantong University(Natural Science Edition)》 2013-04
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Residual Useful Life Prediction Based on Grey Model and Kolmogorov-Smirnov Test

MA Hai-bo;ZHOU Dong-jian;HUANG Xi;XU Hai-li;School of Mechanical Engineering,Nantong University;  
Most of practical signals are nonlinear and non-stationary.In order to make full use of information contained in vibration signal,a K-S distance was proposed as a degradation index.Corresponding threshold degradation index was set first according to experience,degradation index sequence was used to train gray model,and the model was used to predict the trend of degradation index so as to to predict the residual useful life.Finally,validated with the bearing entire life vibration signal,the results show that the proposed prediction method can effectively predict the remaining life of the bearing.
【Fund】: 江苏省自然科学基金资助项目(BK2011391);; 南通市应用研究计划项目(BK2012020 BK2013026)
【CateGory Index】: TB533.1
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