Phase-sensitive optical time-domain reflectometry (Φ-OTDR) has attracted numerous
attention due to its superior performance in detecting the weak perturbations along the fiber …

Distributed optical vibration sensors (DOVS) have attracted much attention recently since it
can be used to monitor mechanical vibrations or acoustic waves with long reach and high …

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 …

In this paper, a novel method, relying on Markov Transition Fields (MTF) and deep learning,
is proposed to classify the vibration-events and measure vibration-frequency, for-OTDR …

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 …

In this paper, we propose a novel neural network model named by Multi-branch Long Short-
Time Memory Convolution Neural Network (MLSTM-CNN) for identifying disturbance signals …

Distributed fiber optic vibration sensing system has been widely used in safety monitoring
with distinct advantages, and the feature extraction and classification methods of fiber optic …

A novel event identification method, which combines the extreme learning machine (ELM)
and fisher score feature selection method, is proposed to reduce the nuisance alarm rate …

Conference title, upper and lower case, bolded, 18 point type, centered Page 1 Fusion of
Distributed Fiber Optic Sensing, Acoustic NDE, and Artificial Intelligence for Infrastructure …

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 …