Consequence analysis of a small-scale hydrogen leakage from the overhead hydrogen piping based on machine learning and physical modeling-Reference-Cited by-同舟云学术

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Consequence analysis of a small-scale hydrogen leakage from the overhead hydrogen piping based on machine learning and physical modeling

Published:2024-08 Issue: Volume:90 Page:105328
ISSN:0950-4230
Container-title:Journal of Loss Prevention in the Process Industries
language:en
Short-container-title:Journal of Loss Prevention in the Process Industries

Author:

Suzuki Yuki,Nakayama Jo^ORCID,Suzuki Tomoya,Soma Tomoya,Izato Yu-Ichiro,Miyake Atsumi

Publisher

Elsevier BV

Reference37 articles.

1. A review on different pipeline fault detection methods;Datta;J. Loss Prev. Process. Ind.,2016

2. A critical review on the current technologies for the generation, storage, and transportation of hydrogen;Faye;Int. J. Hydrogen Energy,2022

3. Disaster Prevention Assessment Guidelines for Petroleum Complexes,2013

4. HyRAM: a methodology and toolkit for quantitative risk assessment of hydrogen systems;Groth;Int. J. Hydrogen Energy,2017

5. Hydrogen safety: an obstacle that must be overcome on the road towards future hydrogen economy;Guo;Int. J. Hydrogen Energy,2023

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1. Low-Power Wireless Sensor Module for Machine Learning-Based Continuous Monitoring of Nuclear Power Plants;Sensors;2024-06-28

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