期刊
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
卷 32, 期 2, 页码 547-554出版社
WILEY
DOI: 10.1002/qre.1771
关键词
degradation feature selection; rolling element bearings; remaining useful life; prognostics and health management
资金
- National Natural Science Foundation of China [51005015]
- Beijing Municipal Organization Department Foundation for Excellent Talents of China [2013D009006000003]
- Fundamental Research Funds for the Central Universities of China [FRF-TP-14-061A2]
Rolling element bearings are among the most widely used and also vulnerable components in rotating machinery equipment. Recently, prognostics and health management of rolling element bearings is more and more attractive both in academics and industry. However, many studies have been focusing on the prognostic aspect of bearing prognostics and health management and few efforts have been performed in relation to the optimal degradation feature selection issue. For more effective and efficient remaining useful life predictions, three goodness metrics of correlation, monotonicity and robustness are defined and combined for automatically more relevant degradation feature selection in this paper. Effectiveness of the proposed method is verified by rolling element bearing degradation experiments. Copyright (c) 2015 John Wiley & Sons, Ltd.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据