中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fault diagnosis of active magnetic bearing–rotor system via vibration images

文献类型:期刊论文

Xunshi yan; Chen-an zhang; Zhengang shi; Jingjing zhao; Zhe sun; Zhang CA(张陈安)
SourceSensors
2019
Volume19Issue:2Pages:244
KeywordFault diagnosis Vibration signals Active magnetic bearing Rotary machinery Adaboost
DOI10.3390/s19020244
English Abstract

as important sources in fault diagnosis of rotary machinery, vibration signals are usually processed in the time or frequency domain as features to distinguish different classes of faults. however, these kinds of processing methods always ignore the corresponding relations among multiple signals, resulting in information loss. in this paper, a new fault description strategy named vibration image is proposed, based on which three new kinds of features are extracted, containing coupling information between different channels of vibration signals. additionally, a new feature fusion method called two-layer adaboost is designed to train the fault recognition model, which avoids overfitting when the dataset is not large enough. features based on vibration images combined with two-layer adaboost are adopted to diagnose faults of rotary machinery. taking an active magnetic bearing-rotor system as the experimental platform, a dataset with four classes of faults is collected and our algorithm achieves good performance. meanwhile, features based on vibration images and two-layer adaboost are both proved to be efficient separately.

Classification二类
URL查看原文
Language英语
Citation statistics
源URL[http://dspace.imech.ac.cn/handle/311007/78325]  
Collection力学研究所_高温气体动力学国家重点实验室
空天飞行科技创新研究中心(筹)
Corresponding AuthorXunshi yan; Chen-an zhang; Zhang CA(张陈安)
Affiliation1.Institute of Nuclear and New Energy Technology, Tsinghua University
2.State Key Laboratory of High Temperature Gas Dynamics, Institute of Mechanics, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Xunshi Yan,Chen-An Zhang,Zhengang Shi,et al. Fault diagnosis of active magnetic bearing–rotor system via vibration images[J]. Sensors,2019,19(2):244.
APA Xunshi Yan,Chen-An Zhang,Zhengang Shi,Jingjing Zhao,Zhe Sun,&张陈安.(2019).Fault diagnosis of active magnetic bearing–rotor system via vibration images.Sensors,19(2),244.
MLA Xunshi Yan,et al."Fault diagnosis of active magnetic bearing–rotor system via vibration images".Sensors 19.2(2019):244.

入库方式: OAI收割

来源:力学研究所

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