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95/9/11
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مقاله Necessity of condition monitoring for estimating the resid

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بخشی از متن مقاله Necessity of condition monitoring for estimating the residual lifetime of rolling element bearings pdf :

سال انتشار: 1387

محل انتشار: سومین کنفرانس تخصصی پایش وضعیت و عیب یابی

تعداد صفحات: 10

چکیده:

Rolling element bearings are the most widely used components in rotating machinery.
Estimation of their remaining useful life in order to increase the reliability and
availability of them is a critical issue in the field of condition monitoring of these
machinery. The defect propagation in these components is inherently stochastic. This
factor causes that their remaining useful life prediction be a challenging problem. In this
paper a method to predict the defect area of rolling element bearings is proposed using
RLS adaptive algorithm and fatigue damage mechanics approach. First, two models are
developed to correlate the statistical features of vibration signals and the defect size on
inner and outer races. After construction of diagnostic models, healthy bearings are tested
under operating conditions and the generated vibration signals are collected from the time
of initial defects until the final failure of the bearing. Using RLS adaptive algorithm,
diagnostic models, and the extracted vibration signals, the parameters in the mechanistic
model are updated and the area of defect can be predicted. The results of experimental
tests show that this approach can determine the defect area on both inner and outer rings
of roller bearings and as a result, their remaining lifetime can be predicted reliably.

 

 

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