期刊
MEASUREMENT
卷 90, 期 -, 页码 4-19出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2016.04.036
关键词
Gear transmission systems; Hybrid faults; Decoupling diagnosis; Signal processing; Multi-sensor system; Sensor fusion
资金
- National Natural Sciences Foundation of China (NSFC) [51505475]
- Fundamental Research Funds for the Central Universities [2015XKMS018]
- Priority Academic Program Development of Jiangsu Higher Education Institutions
Reliable recognition of fault type and assessment of fault severity is essential for decision making in condition-based maintenance of gear transmission systems. In engineering practice, the gear systems are often subject to hybrid faults on the same component or different components. The concurrence of multiple faults makes the fault detection, in particular, the examination of both the fault types and severities, more challenging. Recently, this research area has been recognized as an important direction. A logic solution is to decouple the hybrid faults. This paper reviews various aspects of recent research in decoupling diagnosis of hybrid faults in gear transmission systems, and discusses the techniques used for gearbox hybrid faults decoupling. The general fault detection technologies for gearboxes are also briefly summarized. A potential methodology based on the bounded component analysis (BCA) for hybrid faults decoupling is discussed. Possible future research trends of gearbox hybrid faults decoupling diagnosis are suggested. (C) 2016 Elsevier Ltd. All rights reserved.
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