A comprehensive bibliometric analysis of signal processing and pattern recognition based on distributed optical fiber

C Zhu, K Yang, Q Yang, Y Pu, CLP Chen - Measurement, 2023 - Elsevier
To better grasp the latest research on distributed optical fiber sensing (DOFS), this paper
has screened 861 relevant scientific articles from Web of Science Core Collection database …

Classification of acoustic influences registered with phase-sensitive OTDR using pattern recognition methods

IA Barantsov, AB Pnev, KI Koshelev, VS Tynchenko… - Sensors, 2023 - mdpi.com
This article is devoted to the development of a classification method based on an artificial
neural network architecture to solve the problem of recognizing the sources of acoustic …

Smart fiber-optic distributed acoustic sensing (sDAS) with multitask learning for time-efficient ground listening applications

H Wu, Y Wang, X Liu, Y Sun, G Yan… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In recent years, fiber-optical distributed acoustic sensing (DAS) has been applied to various
large-scale infrastructure monitoring areas in smart cities, leading to a new generation of …

An event recognition method based on MFCC, superposition algorithm and deep learning for buried distributed optical fiber sensors

Y Shi, X Liu, C Wei - Optics communications, 2022 - Elsevier
An event recognition method based on Mel-frequency cepstrum coefficient (MFCC),
superposition algorithm and deep learning is proposed for Φ-OTDR event classification with …

Multi-signal feature fusion method with an attention mechanism for the Φ-OTDR event recognition system

Y Shi, J Chen, S Dai, X Liu, C Wei - Optics express, 2022 - opg.optica.org
Different signal representations show different unique features for classification. In this
paper, a feature fusion method with attention mechanism based on multiple signal …

Optical frequency domain reflectometry based on multilayer perceptron

G Yin, Z Zhu, M Liu, Y Wang, K Liu, K Yu, T Zhu - Sensors, 2023 - mdpi.com
We proposed an optical frequency domain reflectometry based on a multilayer perceptron. A
classification multilayer perceptron was applied to train and grasp the fingerprint features of …

Instability Compensation of Recording Interferometer in Phase-Sensitive OTDR

KV Stepanov, AA Zhirnov, TV Gritsenko, RI Khan… - Sensors, 2024 - mdpi.com
In the paper, a new method of phase measurement error suppression in a phase-sensitive
optical time domain reflectometer is proposed and experimentally proved. The main causes …

Human activities classification based on ϕ-OTDR system by utilizing gammatone filter cepstrum coefficient envelope using support vector machine

NL Saleh, B Faisal, MS Yusri, AH Sulaiman… - Optics & Laser …, 2023 - Elsevier
Intrusion into the critical energy assets area is a serious problem that may cause essential
operations to be disrupted. Besides using closed-circuit television to detect early intrusion …

Pattern recognition using self-reference feature extraction for φ-OTDR

Y Huang, H Zhao, X Zhao, B Lin, F Meng, J Ding… - Applied Optics, 2022 - opg.optica.org
This paper proposes a pattern recognition method for φ-OTDR based on self-reference
features, where machine learning is applied to classify the vibration monitored. The φ-OTDR …

Comparative analysis of temporal-spatial and time-frequency features for pattern recognition of φ-OTDR

F Meng, W Zhang, X Liu, F Liu, X Zhou - Chinese Optics Letters, 2023 - opg.optica.org
The phase-sensitive time-domain reflectometer (φ-OTDR) has been popularly used for
events detection over a long period of time. In this study, the events classification methods …