Short-time and weak signal demodulation for fiber optic current sensors based on backpropagation neural network

Wang，Zhuoying1; Xia，Li1; Cheng，Rui2; Zuo，Guomeng3; Li，Shiyu1; Yang，Zhao1

2022-05-01

10.1016/j.optlastec.2022.107872

OPTICS AND LASER TECHNOLOGY   影响因子和分区

0030-3992

1879-2545

It has been challenging to demodulate short-time and weak current signals collected by fiber optic current sensors (FOCSs) under ultra-high voltage, since the background noise can significantly affect the spectra of the current signals. To address this issue, here we propose a novel FOCS demodulation method based on backpropagation neural network, where the impact of the noise on the measurement can be largely reduced. The demodulation method can determine the amplitudes of short time series of weak currents with high resolution and accuracy. To evaluate the performance of the proposed method, the demodulation accuracy and robustness of the method are experimentally investigated and compared with those of the traditional fast Fourier transform (FFT) method. The experimental results show that our method can produce reliable results when demodulating weak current signals over short time windows of less than one period, and achieve a significantly lower standard deviation (6.7 mA) compared with the FFT method (15.6 mA) in the current range 0–0.306 A. The higher robustness against the background noise than the FFT method and the excellent repeatability of our demodulation method are also demonstrated through simulations. These results suggest that the proposed method will provide an effective way to improve the detection performances of FOCSs in fast dynamic measurements.

Backpropagation neural network Current measurement Fast Fourier transform Fiber optic current sensors

SCI ; EI

英语

其他

Science and Technology of State Grid Corporation of China: Research on the Design and Stability Control Technology of Multi-quantum Well Semiconductor Light Source for Optical Sensing[5700-202018483A-0-0-00]

Optics ; Physics

Optics ; Physics, Applied

WOS:000806565800005

ELSEVIER SCI LTD

20220511568852

Backpropagation ; Demodulation ; Electric current measurement ; Fiber optic sensors ; Fiber optics ; Neural networks ; Optical variables measurement

Artificial Intelligence:723.4 ; Fiber Optics:741.1.2 ; Mathematical Transformations:921.3 ; Optical Variables Measurements:941.4 ; Electric Variables Measurements:942.2

ENGINEERING

2-s2.0-85123737033

Scopus

1.School of Optical and Electronic Information,Huazhong University of Science and Technology,Wuhan,430074,China
2.School of Instrument Science and Opto-electronics Engineering,Hefei University of Technology,Anhui,230009,China
3.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,518055,China

Wang，Zhuoying,Xia，Li,Cheng，Rui,et al. Short-time and weak signal demodulation for fiber optic current sensors based on backpropagation neural network[J]. OPTICS AND LASER TECHNOLOGY,2022,149.

Wang，Zhuoying,Xia，Li,Cheng，Rui,Zuo，Guomeng,Li，Shiyu,&Yang，Zhao.(2022).Short-time and weak signal demodulation for fiber optic current sensors based on backpropagation neural network.OPTICS AND LASER TECHNOLOGY,149.

Wang，Zhuoying,et al."Short-time and weak signal demodulation for fiber optic current sensors based on backpropagation neural network".OPTICS AND LASER TECHNOLOGY 149(2022).