IMECH-IR  > 高温气体动力学国家重点实验室
Fault Diagnosis of Active Magnetic Bearing–Rotor System via Vibration Images
Yan XS; Sun Z; Zhao JJ; Shi ZG; 张陈安
Source PublicationSensors
2019-01
Volume19Issue:2Pages:244
ISSN1424-8220
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.

KeywordFault Diagnosis Vibration Signals Active Magnetic Bearing Rotary Machinery Adaboost
DOI10.3390/s19020244
URL查看原文
Indexed BySCI ; EI
Language英语
WOS IDWOS:000458569300027
DepartmentLHD高超声速空气动力学
Classification二类
Citation statistics
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/78325
Collection高温气体动力学国家重点实验室
空天飞行科技中心(筹)
Corresponding AuthorYan XS; 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
Yan XS,Sun Z,Zhao JJ,等. Fault Diagnosis of Active Magnetic Bearing–Rotor System via Vibration Images[J]. Sensors,2019,19(2):244.
APA Yan XS,Sun Z,Zhao JJ,Shi ZG,&张陈安.(2019).Fault Diagnosis of Active Magnetic Bearing–Rotor System via Vibration Images.Sensors,19(2),244.
MLA Yan XS,et al."Fault Diagnosis of Active Magnetic Bearing–Rotor System via Vibration Images".Sensors 19.2(2019):244.
Files in This Item: Download All
File Name/Size DocType Version Access License
sensors-19-00244.pdf(2441KB)期刊论文出版稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yan XS]'s Articles
[Sun Z]'s Articles
[Zhao JJ]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yan XS]'s Articles
[Sun Z]'s Articles
[Zhao JJ]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yan XS]'s Articles
[Sun Z]'s Articles
[Zhao JJ]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: sensors-19-00244.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.