Wang, Lijuan and Yan, Yong and Hu, Yonghui and Qian, Xiangchen (2016) Radial Vibration Measurement of Rotary Shafts through Electrostatic Sensing and Hilbert-Huang Transform. In: 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings. IEEE, pp. 867-871. ISBN 978-1-4673-9221-1. E-ISBN 978-1-4673-9220-4. (doi:10.1109/I2MTC.2016.7520480) (KAR id:55771)
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Official URL: https://dx.doi.org/10.1109/I2MTC.2016.7520480 |
Abstract
Radial vibration measurement of rotary shafts plays a significant part in condition monitoring and fault diagnosis of rotating machinery. This paper presents a novel method for radial vibration measurement through electrostatic sensing and HHT (Hilbert-Huang Transform) signal processing. The foundational characteristics of the electrostatic sensor in the vicinity of a drifting shaft are studied through Finite Element Modelling. Experimental tests were conducted on a purpose-built test rig to characterize the operating condition of the rotor at different rotational speeds (400 rpm and 600 rpm). A normal working shaft and an eccentric shaft were tested and the output signals from the electrostatic sensors were analyzed. Through empirical mode decomposition (EMD) on the electrostatic signals, the intrinsic mode functions (IMF) including the vibration information of the shaft are identified and further analyzed in the time-frequency domain. Experimental results suggest that the electrostatic sensing technique in conjunction with HHT provides a simple and cost-effective approach to radial vibration measurement of rotary shafts.
Item Type: | Book section |
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DOI/Identification number: | 10.1109/I2MTC.2016.7520480 |
Uncontrolled keywords: | Keywords—radial vibration measurement; rotary shaft; electrostatic sensor; Finit Element Modelling; Hilbert-Huang Transform |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Tina Thompson |
Date Deposited: | 02 Jun 2016 13:08 UTC |
Last Modified: | 05 Nov 2024 10:45 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/55771 (The current URI for this page, for reference purposes) |
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