96 / 2020-09-25 20:32:36
Research on Noise Characteristics and Filtering of Fiber Optic Current Transformer
Allan variance,fiber optical current transformer,Least squares method,noise figure,wavelet transform soft threshold method
Final Paper
yongfeng chai / Huazhong University of Science and Technology
dandan zhang / Huazhong University of Science and Technology
shi mo / Huazhong University of Science and Technology
In order to study the noise problem that affects the measurement accuracy of fiber optic current transformers, a noise analysis method based on Allan variance is proposed. Through calculation and analysis of measured signals, a random error model of fiber-optic current transformers containing 5 noise items is established. The least squares method is used to calculate the noise figure of each noise item, and the noise characteristic is analyzed. The signal noise of the optical current transformer is processed by the wavelet transform soft threshold method. The research results show that the noise analysis method based on Allan variance can effectively identify the noise sources of fiber-optic current transformers, and the noise coefficient can be fitted to quantify the size of each noise error by the least squares method. The use of wavelet transform soft threshold filtering method can effectively filter the signal noise of the fiber optic current transformer.
Important Date
  • Conference Date

    Nov 02

    2020

    to

    Nov 04

    2020

  • Oct 27 2020

    Draft paper submission deadline

  • Nov 03 2020

    Contribution Submission Deadline

  • Nov 04 2020

    Registration deadline

  • Nov 17 2020

    Final Paper Deadline

Sponsored By
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
Organized By
Huazhong University of Science and Technology
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