轴承的剩余使用寿命预测

Prediction of the Remaining Useful Life of the Bearing

摘要: 轴承在现代机械设备中具有广泛的应用，其主要功能是支持旋转或线性运动部件，减少摩擦，承载负荷，确保设备平稳运行。对轴承进行剩余使用寿命预测，不仅可以减少故障风险和不必要的停机时间，还能降低维护成本，提高设备的可靠性与生产效率，是企业管理设备资产、提升生产水平的重要手段。本文对一轴承的振动频率数据集进行特征提取，进而分析提取到的特征使用不同的分类方法对轴承的剩余使用寿命进行预测。

Abstract: Bearings have a wide range of applications in modern machinery and equipment, and their main function is to support rotating or linear moving parts, reduce friction, carry loads, and ensure the smooth operation of equipment. Predicting the remaining service life of bearings can not only reduce the risk of failure and unnecessary downtime, but also reduce maintenance costs, improve equipment reliability and production efficiency, and is an important means for enterprises to manage equipment assets and improve production levels. In this paper, the vibration frequency dataset of a bearing is extracted, and then the extracted features are analyzed, and the remaining service life of the bearing is predicted by different classification methods.