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

Traditional vibration pattern recognition of φ-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 φ-OTDR system, both the classification accuracy and processing cost have been improved irrespective of the nature of applied perturbation.

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Informasi Detail

Judul Seri

JOURNAL OF LIGHTWAVE TECHNOLOGY; Vol.38 No.8 April 15 2020

No. Panggil

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Penerbit

: .,

Deskripsi Fisik

p. 2539 - 2546

Bahasa

English

ISBN/ISSN

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Klasifikasi

-

Tipe Isi

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Tipe Media

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Tipe Pembawa

-

Edisi

-

Subjek

DISTRIBUTED ACOUSTIC SENSING
EVENT RECOGNITION
PERTURBATION RECOGNITION
PHASE-OTDR

Info Detail Spesifik

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Pernyataan Tanggungjawab

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

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