A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
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用于估计滚动轴承剩余使用寿命的混合预测方法
DOI：
10.1109/tr.2018.2882682
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发表时间：
2020-03-01
影响因子：
5.9
通讯作者：
Li, Ningbo
中科院分区：
文献类型：
--
作者：
Wang, Biao;Lei, Yaguo;Li, Ningbo
滚动轴承的剩余使用寿命（RUL）预测在减少昂贵的计划外维护和提高机器的可靠性，可用性和安全性方面起着关键作用。本文提出了一种混合动力学方法预测滚动轴承的RUL。首先，轴承退化数据稀疏表示使用相关向量机回归与不同的核参数。然后，指数退化模型耦合的弗雷歇距离自适应估计的RUL。所提出的方法进行评估，使用的振动数据从加速退化试验的滚动轴承和公共PRONOSTIA轴承数据集。实验结果表明，所提出的方法在提高精度和收敛性的滚动轴承的RUL预测的有效性。
Remaining useful life (RUL) prediction of rolling element bearings plays a pivotal role in reducing costly unplanned maintenance and increasing the reliability, availability, and safety of machines. This paper proposes a hybrid prognostics approach for RUL prediction of rolling element bearings. First, degradation data of bearings are sparsely represented using relevance vector machine regressions with different kernel parameters. Then, exponential degradation models coupled with the Frechet distance are employed to estimate the RUL adaptively. The proposed approach is evaluated using the vibration data from accelerated degradation tests of rolling element bearings and the public PRONOSTIA bearing datasets. Experimental results demonstrate the effectiveness of the proposed approach in improving the accuracy and convergence of RUL prediction of rolling element bearings.