Diagnosis of Gas Leaks by Acoustic Method and Signal Processing-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Diagnosis of Gas Leaks by Acoustic Method and Signal Processing

Published:2018 Issue: Volume: Page:667-672
ISSN:1570-7946
Container-title:13th International Symposium on Process Systems Engineering (PSE 2018)
language:
Short-container-title:

Author:

Fernandes Luiza B.,da Silva Flávio V.,Fileti Ana Maria F.

Publisher

Elsevier

Reference5 articles.

1. Signal Processing for Neuroscientists;van Drongelen,2007

2. Principal Component Analysis in Multivariate Acoustic Response of Microphones Coupled to Metal Pipeline in the Presence of Simulated Leakage of Compressed Air;Fernandes,2016

3. Neural Network A Copmprehensive Foundation;Haykin,1994

4. Self Organizing Maps;Kohonen,2001

5. SOM Toolbox for Matlab 5 (Libella Oy, Espoo);Vesanto,2000

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantitative assessment of leakage orifices within gas pipelines using a Bayesian network;Reliability Engineering & System Safety;2021-05

2. Machine learning and acoustic method applied to leak detection and location in low-pressure gas pipelines;Clean Technologies and Environmental Policy;2020-01-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP