FBG seismometer optimized by genetic algorithm to realize 3-axis vibration detection using one fiber without bending

Author:

Guo Teng1,Song Hao1,Sha Sha1,Li Cunxia1,Xu Ming1

Affiliation:

1. Xi'an University of Technology

Abstract

Abstract

We propose a 3-axis FBG seismometer in which the X- and Y-axis hinge structures are optimized and designed by genetic algorithm to precisely modulate their sensitivity and resonant frequency, thence possess basically the same vibration characteristics with the pre-fabricated spring structure that responsible for Z-axis vibration detection. Sensors on three axes operate in a frequency band of 20-90 Hz, the sensitivities of the proposed accelerometer in X,Y and Z directions are 401.088 pm/g, 413.580 pm/g and 402.075 pm/g respectively. Such application of algorithm enables our seismometer to realize quasi-distributed 3-dimensional vibration detection using one single fiber without bending, which will significantly reduce the diameter of the seismometer, eliminate the bending loss and broaden its application scenario.

Publisher

Research Square Platform LLC

Reference36 articles.

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