In this paper, we propose a deep-learning-based pipe leak detection (PLD) technique using trajectory-based image features extracted from time-series ...
In this paper, we propose a deep-learning-based pipe leak detection (PLD) technique using trajectory-based image features extracted from time-series ...
Multiple microphone sensor nodes are used to simultaneously collect time-series data of the leakage signals. •. Construct the RMS volume feature using four ...
In this paper, we propose a deep-learning-based pipe leak detection (PLD) technique using trajectory-based image features extracted from time-series ...
Sep 1, 2024 · This research explores the impact of data augmentation techniques on enhancing deep learning-based acoustic leak detection methods.
Missing: Pipe | Show results with:Pipe
This study introduces an advanced deep-learning framework for the real-time detection of pipeline leaks in smart city infrastructure.
The results show that the proposed image features suitable for convolutional neural network-based deep-learning can provide reliable PLD performance in terms of ...
Machine Learning Model for Leak Detection Using Water Pipeline ...
pmc.ncbi.nlm.nih.gov › PMC10648304
Nov 2, 2023 · Shukla et al. present a deep learning algorithm that uses scalogram images of vibration signals collected from accelerometers attached to the ...
Dec 31, 2024 · Machine learning (ML) techniques have been developed to analyze acoustic signals with the aim of automated leak detection (Fu et al., 2022; Liu ...
Aug 5, 2024 · The core of this study is to extract deep features from pressure distribution images under varying conditions to enhance the accuracy of leak ...