一种基于UPF的轴承剩余寿命预测方法

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振动与冲击 ›› 2018, Vol. 37 ›› Issue (24) : 208-213.

论文

一种基于UPF的轴承剩余寿命预测方法

文娟，高宏力

作者信息 +

Remaining useful life prediction of bearings with the unscented particle filter approach

WEN Juan, GAO Hongli

Author information +

文章历史 +

摘要

剩余寿命预测能够确保系统的安全性、可用性与高效工作，并且能够降低维修费用，因而成为状态维修中的一个重要课题。基于模型的寿命预测方法主要包含两部分内容：退化模型构建和系统状态估计。粒子滤波算法（Particle filtering, PF）是一种广泛用于系统状态估计的方法，已经应用于轴承剩余寿命预测中，但PF方法存在粒子退化问题。本文提出一种基于无迹粒子滤波算法（Unscented Particle filter, UPF）的轴承剩余寿命预测方法。首先，利用随机过程模型对轴承退化过程进行建模，然后利用UPF算法对轴承的退化状态进行追踪，并更新模型参数。使用实验数据对提出方法进行验证，结果表明：与PF方法相比，本文提出的方法能在一定程度上降低粒子退化程度，进而更加准确地预测轴承剩余寿命。

Abstract

As a critical issue of condition-based maintenance, accurate prognosis of systems can improve the safety, availability and efficiency as well as reducing the maintenance cost.There are two main parts in model-based prognosis methods: degradation modelling and state estimation.Recently, particle filter (PF) has been widely applied in this area.However, there is a particle degeneracy problem with using PF.A remaining useful life (RUL) prediction approach of bearings was introduced by combining a stochastic process model and unscented particle filter (UPF) in this paper.Specifically, the degradation process of bearings was described with the stochastic process model, and the health state and model parameters were updated with UPF.Real test data were involved to demonstrate the effectiveness of the proposed technique.Compared with PF, the proposed method shows its superiority in particle degeneracy problem reduction and bearing RUL prediction.

导出引用

文娟,高宏力. 一种基于UPF的轴承剩余寿命预测方法[J]. 振动与冲击, 2018, 37(24): 208-213

WEN Juan, GAO Hongli. Remaining useful life prediction of bearings with the unscented particle filter approach[J]. Journal of Vibration and Shock, 2018, 37(24): 208-213

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