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Optical Fiber Vibration Sensor Using Least Mean Square Error Algorithm.

Yu Wang1,2, Jie Zou1, Yuelin Xu2

  • 1College of Physics and Optoelectronics, Key Laboratory of Advanced Transducers and Intelligent Control Systems (Ministry of Education and Shanxi Province), Taiyuan University of Technology, Taiyuan 030024, China.

Sensors (Basel, Switzerland)
|April 8, 2020
PubMed
Summary
This summary is machine-generated.

This study enhances distributed optical fiber vibration sensing using coherent optical time domain reflectometry (COTDR). The new method significantly improves signal-to-noise ratio (SNR) for accurate acoustic fault diagnosis in electromechanical devices.

Keywords:
coherent optical time domain reflectometryleast mean square error algorithmoptical fiber vibration sensorsemiconductor optical amplifier

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Area of Science:

  • Optoelectronics
  • Sensor Technology
  • Signal Processing

Background:

  • Distributed optical fiber vibration sensing requires high signal-to-noise ratio (SNR) for accurate detection.
  • Coherent optical time domain reflectometry (COTDR) is a key technology for such sensors.
  • Existing COTDR systems face challenges with background noise, limiting performance.

Purpose of the Study:

  • To enhance the SNR of a COTDR-based distributed optical fiber vibration sensor.
  • To develop an effective noise elimination strategy for improved vibration signal detection.
  • To validate the proposed method for acoustic fault diagnosis applications.

Main Methods:

  • Implementation of a high extinction ratio cascade structure using an acousto-optic modulator and semiconductor optical amplifier.
  • Application of prior time-frequency analysis for amplitude and phase demodulation.
  • Utilizing a least mean square error algorithm for adaptive noise filtering.

Main Results:

  • Achieved significant SNR improvement from 10.4 dB to 42.2 dB.
  • Successfully extracted a three-order sinusoidal harmonic signal from strong background noise.
  • Demonstrated the effectiveness of the least mean square error algorithm in noise elimination.

Conclusions:

  • The proposed COTDR system with advanced demodulation techniques effectively enhances vibration sensing capabilities.
  • The adaptive filter based on the least mean square error algorithm is crucial for improving SNR.
  • The method is well-suited for acoustic fault diagnosis in electromechanical devices by detecting characteristic vibration frequencies.