Cargando…
Based on abnormal fluctuations in user-side flow simulation analysis of low- and medium-pressure gas pipeline leakage monitoring
Due to the weak monitoring equipment for low- and medium-pressure gas pipelines, it is not easy to identify small flow leaks. The detection methods are mostly traditional manual inspections or night pressure-maintaining leak detection methods, which cannot be automatically monitored and sensed immed...
Autores principales: | Wang, Xiaomin, Luo, Zhengshan, Kong, Yulei, Wang, Qingqing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312409/ https://www.ncbi.nlm.nih.gov/pubmed/35877688 http://dx.doi.org/10.1371/journal.pone.0270290 |
Ejemplares similares
-
Intelligent identification of natural gas pipeline defects based on improved pollination algorithm
por: Gao, Yiqiong, et al.
Publicado: (2023) -
Investigation of the Solubility of Elemental Sulfur (S) in Sulfur-Containing Natural Gas with Machine Learning Methods
por: Wang, Yuchen, et al.
Publicado: (2023) -
Comprehensive weighted matter-element extension method for the safety evaluation of underground gas storage
por: Bi, Aorui, et al.
Publicado: (2020) -
The Signal Characteristics of Oil and Gas Pipeline Leakage Detection Based on Magneto-Mechanical Effects
por: Liu, Bin, et al.
Publicado: (2023) -
Micro-Leakage Image Recognition Method for Internal Detection in Small, Buried Gas Pipelines
por: Zhao, Yuxin, et al.
Publicado: (2023)