Radial Vibration Measurement of Rotary Shafts through Electrostatic Sensing and Hilbert-Huang Transform

Wang, Lijuan and Yan, Yong and Hu, Y.H. and Qian, X.C. (2016) Radial Vibration Measurement of Rotary Shafts through Electrostatic Sensing and Hilbert-Huang Transform. In: IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2016), 23-26 May 2016, Taipei, Taiwan. (doi:https://doi.org/10.1109/I2MTC.2016.7520480) (Full text available)

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https://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: Conference or workshop item (Paper)
Uncontrolled keywords: Keywords—radial vibration measurement; rotary shaft; electrostatic sensor; Finit Element Modelling; Hilbert-Huang Transform
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Tina Thompson
Date Deposited: 02 Jun 2016 13:08 UTC
Last Modified: 09 Jan 2019 09:40 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/55771 (The current URI for this page, for reference purposes)
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