Impact-Based Feature Extraction Utilizing Differential Signals of Phase-Sensitive OTDR

Muhammad Adeel, Chao Shang, Diya Hu, Huan Wu, Kun Zhu, Aadil Raza, Chao Lu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)

Abstract

Traditional vibration pattern recognition of \phi-OTDR system was operated by event-based feature extractors. The proposed adjacent Spearman correlation assisted algorithm can be considered as impact-based feature extractor utilizing differential signals by extracting the impact region of the perturbation without involving idle data region. This technique can utilize less number of data traces in the pattern recognition process. Classifying with the unique way of impact-based strategy for the direct detected \phi-OTDR system, both the classification accuracy and processing cost have been improved irrespective of the nature of applied perturbation.

Original languageEnglish
Article number8957571
Pages (from-to)2539-2546
Number of pages8
JournalJournal of Lightwave Technology
Volume38
Issue number8
DOIs
Publication statusPublished - 15 Apr 2020

Keywords

  • Distributed acoustic sensing
  • event recognition
  • perturbation recognition
  • Phase-OTDR

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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