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Periodic impulse signal separation based on resonance-based sparse signal decomposition and its application to the fault detection of rolling bearing | |
Juan, Du1; Yan, Lu1; Xian, Tao2; Yu, Zheng3; Chu, Chen Guo1 | |
发表期刊 | MEASUREMENT & CONTROL |
ISSN | 0020-2940 |
2020-03-01 | |
卷号 | 53期号:3-4页码:601-612 |
通讯作者 | Yan, Lu(mly271515@163.com) |
摘要 | The main purpose of the paper is to propose a new method to achieve separating periodic impulse signal among multi-component mixture signal and its application to the fault detection of rolling bearing. In general, as local defects occur in a rotating machinery, the vibration signal always consists of periodic impulse components along with other components such as harmonic component and noise; impulse component reflects the condition of rolling bearing. However, different components of multi-component mixture signal may approximately have same center frequency and bandwidth coincides with each other that is difficult to disentangle by linear frequency-based filtering. In order to solve this problem, the author introduces a proposed method based on resonance-based sparse signal decomposition integrated with empirical mode decomposition and demodulation that can separate the impulse component from the signal, according to the different Q-factors of impulse component and harmonic component. Simulation and application examples have proved the effectiveness of the method to achieve fault detection of rolling bearing and signal preprocessing. |
关键词 | Resonance-based sparse signal decomposition Q-factor empirical mode decomposition energy operator demodulating fault detection |
DOI | 10.1177/0020294019866858 |
关键词[WOS] | EMPIRICAL MODE DECOMPOSITION ; DIAGNOSIS |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[61703399] ; Open Project Program of Shang hai Key Lab of Advanced Manufacturing Environment[KT20190602] |
项目资助者 | National Natural Science Foundation of China ; Open Project Program of Shang hai Key Lab of Advanced Manufacturing Environment |
WOS研究方向 | Automation & Control Systems ; Instruments & Instrumentation |
WOS类目 | Automation & Control Systems ; Instruments & Instrumentation |
WOS记录号 | WOS:000537193300029 |
出版者 | SAGE PUBLICATIONS LTD |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39635 |
专题 | 中国科学院工业视觉智能装备工程实验室_精密感知与控制 |
通讯作者 | Yan, Lu |
作者单位 | 1.Shanghai Dianji Univ, Sch Elect Engn, Shanghai 200240, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 3.Shang Hai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Juan, Du,Yan, Lu,Xian, Tao,et al. Periodic impulse signal separation based on resonance-based sparse signal decomposition and its application to the fault detection of rolling bearing[J]. MEASUREMENT & CONTROL,2020,53(3-4):601-612. |
APA | Juan, Du,Yan, Lu,Xian, Tao,Yu, Zheng,&Chu, Chen Guo.(2020).Periodic impulse signal separation based on resonance-based sparse signal decomposition and its application to the fault detection of rolling bearing.MEASUREMENT & CONTROL,53(3-4),601-612. |
MLA | Juan, Du,et al."Periodic impulse signal separation based on resonance-based sparse signal decomposition and its application to the fault detection of rolling bearing".MEASUREMENT & CONTROL 53.3-4(2020):601-612. |
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