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A comprehensive bibliometric analysis of signal processing and pattern recognition based on distributed optical fiber
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 …
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 …
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 …
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 …
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 …
paper, a feature fusion method with attention mechanism based on multiple signal …
Optical frequency domain reflectometry based on multilayer perceptron
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 …
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 …
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
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 …
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 …
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
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 …
events detection over a long period of time. In this study, the events classification methods …