论文标题
轴承降解监控指标基于废弃的投影空间信息和分段线性表示
Bearings degradation monitoring indicators based on discarded projected space information and piecewise linear representation
论文作者
论文摘要
旋转力学的基于条件的维护要求有效的轴承降解监测。轴承降解度量的准确性在很大程度上取决于降解指标。为了提取有效的指标，在本文中，我们提出了一种基于丢弃的投影空间信息和分段线性表示（PLR）的方法，以构建三个轴承降解监控指标，该指标命名为SDHT2，VSDHT2和NVSDHT2。丢弃的投影空间信息是通过我们在本文中提出的分段的丢弃的hotelling t正方形来衡量的。为了插图，本文使用了IEEE PHM 2012基准数据集。结果表明，在整个生命周期中，这三个新指标都是敏感和单调的。他们描述了整个退化过程历史记录，并具有轴承降解的实时信息。 NVSDHT2是VSDHT2的广义版本，该版本有望监视轴承降解。
Condition-based maintenance of rotating mechanics requests efficient bearings degradation monitoring. The accuracy of bearings degradation measure depends largely on degradation indicators. To extract efficient indicators, in this paper we propose a method based on the discarded projected space information and piecewise linear representation (PLR) to build three bearings degradation monitoring indicators which are named SDHT2, VSDHT2 and NVSDHT2. The discarded projected space information is measured by the segmented discarded Hotelling T square we propose in this paper. For illustration, the IEEE PHM 2012 benchmark dataset is used in this paper. The results show that the three new indicators are all sensitive and monotonic during the bearings whole lifecycle. They describe the whole degradation process history and carry the real-time information of bearings degradation. And NVSDHT2 is the generalised version of VSDHT2, which is promising to monitor bearings degradation.
