TY - JOUR
T1 - A study on dynamic measurement methods based on vibrating wire sensors
AU - Tao, Wang
AU - Wenqian, Zhou
N1 - Publisher Copyright:
© 2019 IOP Publishing Ltd.
PY - 2019/2
Y1 - 2019/2
N2 - Vibrating wire sensors are widely used in long-term static strain monitoring. However, when dynamic measurements are needed, conventional measuring methods are unsuitable. On the basis of the static measuring method, in this paper we propose a new method of dynamic frequency excitation and measurement based on vibrating wire sensors. In the dynamic frequency excitation method, we adopt intermittent self-adaptive excitation which allows the internal steel in the sensor to vibrate continuously, without attenuation. In turn, this allows us to continuously collect and analyze the sensor signal. We use a dynamic frequency measurement algorithm to subsequently process the data, which interpolates three spectral lines based on a windowed fast Fourier transform. The resonance frequency of the sensor is obtained, which then allows us to dynamically acquire the strain. Through data analysis, the theoretical calculation error of the resonance frequency can be obtained to within 0.015 Hz, and the theoretical sampling rate of dynamic strain measurement can reach to 325 Hz. In addition, through our experiments, the efficiency and the feasibility of our methods are verified.
AB - Vibrating wire sensors are widely used in long-term static strain monitoring. However, when dynamic measurements are needed, conventional measuring methods are unsuitable. On the basis of the static measuring method, in this paper we propose a new method of dynamic frequency excitation and measurement based on vibrating wire sensors. In the dynamic frequency excitation method, we adopt intermittent self-adaptive excitation which allows the internal steel in the sensor to vibrate continuously, without attenuation. In turn, this allows us to continuously collect and analyze the sensor signal. We use a dynamic frequency measurement algorithm to subsequently process the data, which interpolates three spectral lines based on a windowed fast Fourier transform. The resonance frequency of the sensor is obtained, which then allows us to dynamically acquire the strain. Through data analysis, the theoretical calculation error of the resonance frequency can be obtained to within 0.015 Hz, and the theoretical sampling rate of dynamic strain measurement can reach to 325 Hz. In addition, through our experiments, the efficiency and the feasibility of our methods are verified.
KW - dynamic measurement
KW - fast Fourier transform
KW - interpolation algorithm
KW - self-adaptive excitation
KW - vibrating wire sensor
UR - http://www.scopus.com/inward/record.url?scp=85062522263&partnerID=8YFLogxK
U2 - 10.1088/1361-6501/aaf8ff
DO - 10.1088/1361-6501/aaf8ff
M3 - Article
AN - SCOPUS:85062522263
SN - 0957-0233
VL - 30
JO - Measurement Science and Technology
JF - Measurement Science and Technology
IS - 2
M1 - 025105
ER -