Error characteristic analysis of fiber optic current transformer with sine modulation

2021 ◽  
Vol 65 ◽  
pp. 102620
Author(s):  
Lihui Wang ◽  
Wenpeng Zhang ◽  
Fubin Pang
2018 ◽  
Vol 57 (28) ◽  
pp. 8359 ◽  
Author(s):  
Yansong Li ◽  
Xinying Liu ◽  
Weiwei Zhang ◽  
Jun Liu

2020 ◽  
Vol 11 (1) ◽  
pp. 90
Author(s):  
Song Yang ◽  
Xianyong Zhu ◽  
Hui Wang

The flat-plate momentum test bench is a widely used experimental device in the verification of the momentum law of fluid mechanics, and its error characteristics are of positive significance for theoretical research and engineering innovation and expansion. The SPH-FEM coupling algorithm and spectrum analysis method are used to calculate and analyze the displacement response and spectrum characteristics of the characteristic points of the sensor under different jet loads. Based on them, the cause, classification, law, scope, influence and control method of the measurement error of the system are discussed and analyzed with the application of the error theory and the lateral effect theory of strain gauges; combined with physical experiments, the relevant analysis methods and conclusions are verified. The results show that the measurement error of the system includes linear error and periodic error. Structural deformation in the direction of jet impact is the main source of linear error; linear error increases with the increase of jet loads. Meanwhile, periodic vibration in non-jet direction is the main cause of periodic error, and the periodic error decreases with the increase of jet loads.


2017 ◽  
Vol 54 (1) ◽  
pp. 010601
Author(s):  
王夏霄 Wang Xiaxiao ◽  
张宇宁 Zhang Yuning ◽  
于 佳 Yu Jia ◽  
李传生 Li Chuansheng ◽  
张 猛 Zhang Meng

2020 ◽  
Vol 64 (1-4) ◽  
pp. 3-10
Author(s):  
Lihui Wang ◽  
Kai Zhao ◽  
Wenpeng Zhang ◽  
Jian Liu ◽  
Fubin Pang

Affected by environmental factors, the performance of fiber optic current transformer (FOCT) will deteriorate over a long period of time. Intelligent fault diagnosis algorithm of Long-Short Term Memory (LSTM) combing with Support Vector Machine (SVM) is an effective way to deal with FOCT failures. According to the characteristics of LSTM, a signal prediction model in FOCT based on LSTM is proposed by analyzing the historical data. The residual signal can be obtained by the prediction signal and the observed signal. Set the residual threshold to determine whether the FOCT has fault. With the residual signal characteristics, a fault diagnosis model based on SVM is established. By analyzing the residual signal and extracting features, the diagnostic network can realize the pattern recognition and system fault diagnosis. Experiments demonstrate that the drift deviation fault, the ratio deviation fault and the fixed deviation fault can be diagnosed with an accuracy of 94.5%.


2012 ◽  
Vol 614-615 ◽  
pp. 1289-1294
Author(s):  
Lu Meng ◽  
Rui Dong ◽  
Qing Fu Xiong ◽  
Qian Wang

The optical current transformer is an important content in smart grid research field. When the Faraday DC optical measurement system was used in DC current measurement, the low frequency noise caused by photo detector and measured signal were overlapped, which makes the measuring accuracy decrease. To solve this problem, the noise of photo detector is analyzed. Then, the frequency modulation is proposed for spectrum shifting. Furthermore, the principle of modulation method is deduced in formula, and the characteristics of deferent frequency are also analyzed. On this base, modulation signal source is designed. With LabVIEW program, the signal from modulation source is acquainted and analyzed. The results show that this modulation method can realize spectrum shifting and the designed signal source is able to generate waveform needed.


Optik ◽  
2016 ◽  
Vol 127 (20) ◽  
pp. 8505-8512 ◽  
Author(s):  
Xiaxiao Wang ◽  
Yuning Zhang ◽  
Jia Yu ◽  
Yangyang Gao

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