Fuzzy prediction of rolling bearing friction torque using information poor system theory
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Fuzzy prediction of rolling bearing friction torque using information poor system theory
Vol. 24, Issue 4, (2009)
作者机构:
1. 河南科技大学 机电工程学院,洛阳,471003
2. 北京航空航天大学 仪器科学与光电工程学院,北京,100191
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Published:2009
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XIA Xin-tao, JIA Chen-hui, WANG Zhong-yu. Fuzzy prediction of rolling bearing friction torque using information poor system theory[J]. 2009, 24(4).
DOI:
XIA Xin-tao, JIA Chen-hui, WANG Zhong-yu. Fuzzy prediction of rolling bearing friction torque using information poor system theory[J]. 2009, 24(4).DOI:
Fuzzy prediction of rolling bearing friction torque using information poor system theory
Friction torque of rolling bearings with uncertain fluctuation belongs to a poor information system
wherein both probability distribution and trend are unknown.This impedes small sample analysis and overall understanding of friction torque of rolling bearings.For this end
empirical probability density function and fuzzy prediction model of rolling bearings for space applications were proposed
and upper boundary of mean friction torque and maximum friction torque were predicted
starting from small samples based on fuzzy-set theory.Experiments on friction torque parameters of two kinds of rolling bearings HKTA and HKTB show that
at the 99%~100% confidence level
errors between results of prediction and experiment are very small
maximum absolute error is only 0.081 1 unit
and maximum relative error is only 10.165%
which could satisfy the requirements of space engineering.