TY - GEN
T1 - Radial vibration measurement of rotary shafts through electrostatic sensing and Hilbert-Huang Transform
AU - Wang, Lijuan
AU - Yan, Yong
AU - Hu, Yonghui
AU - Qian, Xiangchen
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/22
Y1 - 2016/7/22
N2 - 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.
AB - 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.
KW - Finit Element Modelling
KW - Hilbert-Huang Transform
KW - electrostatic sensor
KW - radial vibration measurement
KW - rotary shaft
UR - https://www.scopus.com/pages/publications/84980347904
U2 - 10.1109/I2MTC.2016.7520480
DO - 10.1109/I2MTC.2016.7520480
M3 - 会议稿件
AN - SCOPUS:84980347904
T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference
BT - I2MTC 2016 - 2016 IEEE International Instrumentation and Measurement Technology Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016
Y2 - 23 May 2016 through 26 May 2016
ER -