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Fault Diagnosis of Active Magnetic Bearing–Rotor System via Vibration Images
Xunshi Yan; Zhe Sun; Jingjing Zhao; Zhengang Shi; Chen-An Zhang
发表期刊Sensors
2019
卷号19期号:2页码:244
摘要

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.

关键词Fault Diagnosis Vibration Signals Active Magnetic Bearing Rotary Machinery Adaboost
DOI10.3390/s19020244
URL查看原文
收录类别SCI ; EI
语种英语
课题组名称LHD高超声速空气动力学
论文分区二类
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文献类型期刊论文
条目标识符http://dspace.imech.ac.cn/handle/311007/78325
专题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)
通讯作者Xunshi Yan; Chen-An Zhang
作者单位1.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
推荐引用方式
GB/T 7714
Xunshi Yan,Zhe Sun,Jingjing Zhao,等. Fault Diagnosis of Active Magnetic Bearing–Rotor System via Vibration Images[J]. Sensors,2019,19(2):244.
APA Xunshi Yan,Zhe Sun,Jingjing Zhao,Zhengang Shi,&Chen-An Zhang.(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.
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