| Title | A Fault Detection Method Based on Bearing Dynamics with Multi-frequency Sinusoidal Signal |
| Author | |
| DOI | |
| Publication Years | 2022
|
| Conference Name | 41st Chinese Control Conference (CCC)
|
| ISSN | 1934-1768
|
| ISBN | 978-1-6654-8256-1
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| Source Title | |
| Pages | 3126-3131
|
| Conference Date | 25-27 July 2022
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| Conference Place | Hefei, China
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| Publication Place | 345 E 47TH ST, NEW YORK, NY 10017 USA
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| Publisher | |
| Abstract | Bearing is a common and important component in the industry, and it is crucial to detect and diagnose its working condition. According to the characteristic the motion process of the bearing that is a periodic nonlinear system with sinusoidal input, a bearing fault detection method based on the nonlinear system with multi-frequency sinusoidal input is proposed. Through the dynamics modeling of the motion for the bearing, it is found that its input and output have the characteristics of almost periodic function. Using the periodogram-based asymptotic local fault detection method, the fault detection problem is transformed into a hypothesis test problem, and a threshold is obtained by the given confidence and the degree of freedom of a specific frequency matrix. The method can effectively and quickly monitor the early minor faults in strong noise environment. The realization and performance of this bearing detection method are illustrated by the simulated vibration signal of the bearing. |
| Keywords | |
| SUSTech Authorship | First
|
| Language | English
|
| URL | [Source Record] |
| Indexed By | |
| Funding Project | National Key Research and Development Program of China[2019YFB1705401]
; Natural Science Foundation of China["61873118","61903179"]
; Science, Technology and Innovation Commission of Shenzhen Municipality["ZDSYS20200811143601004","RCBS20200714114918137"]
|
| WOS Research Area | Automation & Control Systems
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| WOS Subject | Automation & Control Systems
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| WOS Accession No | WOS:000932071603042
|
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9901612 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/406481 |
| Department | Department of Mechanical and Energy Engineering 前沿与交叉科学研究院 |
| Affiliation | 1.Department of Mechanical and Energy Engineering, Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems, Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities, Southern University of Science and Technology, Shenzhen, China 2.Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, Shenzhen, P. R. China |
| First Author Affilication | Department of Mechanical and Energy Engineering |
| First Author's First Affilication | Department of Mechanical and Energy Engineering |
| Recommended Citation GB/T 7714 |
Xiaohong Li,Zhicheng Li,Zaiyue Yang. A Fault Detection Method Based on Bearing Dynamics with Multi-frequency Sinusoidal Signal[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:3126-3131.
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