DocumentCode :
77338
Title :
Hilbert–Huang Transform Time-Frequency Analysis in 
-OTDR Distributed Sensor
Author :
Xiaonan Hui ; Shilie Zheng ; Jinhai Zhou ; Hao Chi ; Xiaofeng Jin ; Xianmin Zhang
Author_Institution :
Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
Volume :
26
Issue :
23
fYear :
2014
fDate :
Dec.1, 1 2014
Firstpage :
2403
Lastpage :
2406
Abstract :
Time-frequency analysis is a practical method to analyze the characteristics of vibration signals. We introduce the Hilbert-Huang transform (HHT) to the phase-sensitive optical time-domain reflectometer sensor system for time-frequency analysis. The Hilbert spectral analysis makes the instantaneous frequency meaningful, and acquires the high frequency resolution. Compared with other time-frequency analysis methods, such as the short-time Fourier transform and the continuous wavelet transform, HHT presents high frequency resolution for both stationary and nonstationary signals, and with much less time consuming.
Keywords :
Fourier transform optics; Hilbert transforms; fibre optic sensors; optical information processing; spectral analysis; time-domain reflectometry; time-frequency analysis; wavelet transforms; φ-OTDR distributed sensor; HHT; Hilbert spectral analysis; Hilbert-Huang transform time-frequency analysis; continuous wavelet transform; frequency resolution; instantaneous frequency; nonstationary signals; phase-sensitive optical time-domain reflectometer sensor system; short-time Fourier transform; time-frequency analysis methods; vibration signal characteristics; Optical fiber sensors; Optical fibers; Signal resolution; Time-domain analysis; Time-frequency analysis; Transforms; Vibrations; Distributed optical fiber sensor; Hilbert-Huang transform (HHT); phase sensitive optical time domain reflectometer ( $phi $ -OTDR); time-frequency spectrum;
fLanguage :
English
Journal_Title :
Photonics Technology Letters, IEEE
Publisher :
ieee
ISSN :
1041-1135
Type :
jour
DOI :
10.1109/LPT.2014.2358262
Filename :
6905722
Link To Document :
