用户名 密 码 登 录 忘记密码 免费注册

网站会员中心 | 设为首页 | 加入收藏

 您好，欢迎光临中国轴承行业网         退出登陆

会员中心 | 设为首页 | 加入收藏

协会

统计

国外文献 > 1.轴承 > 5. 监测与诊断 > 寿命与维护

关键词搜索：

标 题： A new Wasserstein distance- and cumulative sum-dependent health indicator and its application in prediction of remaining useful life of bearing
一种基于瓦谢尔斯坦距离和累积和的新型健康指标及其在轴承剩余使用寿命预测中的应用
作 者： Yin, Jiancheng
Xu, Minqiang
Zheng, Huailiang
Yang, Yuantao
关键词： Health indicator  [健康指标]
Wasserstein distance  [ 瓦瑟斯坦距离]
Cumulative sum  [ 累积和]
Remaining useful life  [ 剩余使用寿命]
Life prediction  [ 生命预测]
出版年： 2020
期刊名： Journal of the Brazilian Society of Mechanical Sciences and Engineering
巴西机械科学与工程学会期刊
年卷期： 2020, vol.42, no.9
摘 要： The safety and reliability of mechanical performance are affected by the condition (health status) of the bearings. A health indicator (HI) with high monotonicity and robustness is a helpful tool to simplify the predictive model and improve prediction accuracy. In this paper, a new health indicator based on the Wasserstein distance (WD) and cumulative sum (CUSUM) is proposed. First, a standard normal signal is simulated as the reference. The second step is to calculate the frequency distribution histogram of the reference signal and that of monitoring signals for the bearing. The next step is to obtain the WD between the frequency distribution histogram of the reference signal and that of the monitoring signal. Finally, the fluctuation of the WD is amplified by applying the CUSUM. The performance of the proposed HI is evaluated by testing three run-to-failure datasets. The results show that the proposed HI has better monotonicity and robustness and can be effectively used to predict the remaining useful life of bearings.

机械性能的安全性和可靠性受轴承状态（健康状况）的影响。具有高单调性与鲁棒性的健康指标（HI）是一种有助于简化预测模型并提高预测准确性的有效工具。本文提出一种基于瓦尔斯坦距离（WD）和累积和（CUSUM）的新健康指标。首先，以标准正态信号作为参考信号进行仿真； 其次，计算参考信号与轴承监测信号的频率分布直方图； 然后，求取参考信号与监测信号频率分布直方图之间的瓦尔斯坦距离； 最后，通过应用CUSUM对瓦尔斯坦距离的波动进行放大处理。该新健康指标的性能通过测试三个从运行到失效的数据集进行了评估。结果表明，所提出的健康指标具有更好的单调性和鲁棒性，可有效用于预测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。

VIP网员

联系我们 | 登录注册 | 会员管理 | 网员服务 | 服务信息 | 广告服务 | 高薪聘请 | 法律声明 | 关于我们

京公网安备 11010202009788    京ICP备2021015424号