Prognosis is a key technology to improve reliability,safety and maintainability of products,a lot of researchers have been devoted to this *** to improve the predict accuracy of remaining life of products has been ***...
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Prognosis is a key technology to improve reliability,safety and maintainability of products,a lot of researchers have been devoted to this *** to improve the predict accuracy of remaining life of products has been *** predict the lifetime specification of pneumatic cylinders with high reliability and long lifetime and small specimen,this paper put forward the prognosis algorithm based on the pathclassification and estimation（PACE） *** model is based entirely on failure data instead of failure *** cylinders normally characterize with failure mechanism wear and *** the minimum working pressure increases with the number of working cycles,the minimum working pressure is chosen as degradation *** model is fundamentally composed of two operations：pathclassification and remaining useful life（RUL） *** classification is to classify a current degradation path as belonging to one or more of previously collected exemplary degradation *** estimation is to use the resulting memberships to estimate the remaining useful *** order for verification and validation of PACE prognostic method,six pneumatic cylinders are *** test data is analyzed by PACE *** is found that the PACE based prognosis method has higher prediction accuracy and smaller variance and PACE model is significantly outperform population based prognostics especially for small specimen *** model based method solved the problem of prediction accuracy for small specimen pneumatic cylinders＇ prognosis.
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