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 Fréchet 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.

中文翻译：

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估计滚动轴承剩余使用寿命的混合预测方法

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发挥着关键作用。本文提出了一种用于滚动轴承 RUL 预测的混合预测方法。首先，使用具有不同内核参数的相关向量机回归来稀疏表示轴承的退化数据。然后，采用指数退化模型与 Fréchet 距离相结合来自适应地估计 RUL。使用来自滚动轴承加速退化测试的振动数据和公共 PRONOSTIA 轴承数据集来评估所提出的方法。