国外文献 > 1.轴承 > 7. 智能方法与计算 > 神经网络
关键词搜索：
| 标 题： |
A Data-Driven Residual Life Prediction Method For Rolling Bearings
基于数据的滚动轴承剩余寿命预测方法 |
| 作 者： |
Shangrui Li
Meng Li
Zhilong Liu
Minggang Li |
| 关键词： |
Support vector machine [支持向量机]
Residual life prediction [ 剩余寿命预测]
Principal component analysis [ 主成分分析]
Rolling bearing [ 滚动轴承] |
| 出版年： |
2023 |
| 文集名： |
12th IEEE Data Driven Control and Learning Systems Conference (DDCLS 2023)
第12届IEEE数据驱动控制与学习系统会议（DDCLS 2023） |
| 会议名： |
12th IEEE Data Driven Control and Learning Systems Conference (DDCLS 2023)
第12届IEEE数据驱动控制与学习系统会议（DDCLS 2023） |
| 届 次： |
12th |
| 摘 要： |
Rolling bearing is a key component of rotating machinery, which affects the reliability of the equipment. In order to make the equipment intelligent, facilitate the maintenance of the equipment, and improve the operation efficiency of the equipment, a data-driven residual life prediction method of rolling bearing is proposed, which is used to intelligently predict the remaining service life of the equipment, providing great convenience for the maintenance of the equipment. First, wavelet packet de-noising method is used to remove the noise in the original signal, and then extract the time-domain and frequency-domain features of the de-noised signal, after that PCA is used to reduce the dimension of the feature information and fuse it into the comprehensive life characteristics of the bearing. Last, with the input of the subsequent life prediction features, the residual life prediction model based on PCA-SVR is finally constructed. The experimental results show that the residual life prediction model based on PCA-SVR has low error rate and high accuracy which can accurately predict the residual life of rolling bearings.
滚动轴承是旋转机械的关键部件，其可靠性直接影响设备的运行。为了实现设备智能化、便于维护并提高设备运行效率，本文提出了一种基于数据的滚动轴承剩余寿命预测方法，用于智能预测设备的剩余使用寿命，为设备维护提供了极大便利。首先，采用小波包去噪方法去除原始信号中的噪声，然后提取去噪后信号的时间域和频率域特征，接着利用主成分分析（PCA）降低特征信息的维度，并将其融合为轴承的综合寿命特征。最后，结合后续寿命预测特征，构建了基于PCA-SVR的剩余寿命预测模型。实验结果表明，基于PCA-SVR的剩余寿命预测模型具有较低的误差率和较高的准确率，能够精确预测滚动轴承的剩余使用寿命。 |
| 中文内容为网络AI翻译，专业术语未必准确，仅供参考。 |
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