DocumentCode
3773840
Title
A Study on Risk Diagnosis Algorithm
Author
Jeong Seok Oh;Ji Hoon Park
Author_Institution
Inst. of Gas Safety R&
fYear
2015
Firstpage
14
Lastpage
17
Abstract
Industry complex include various facilities. Pipelines out of facilities are very important because they carry out source materials. Especially, a gas leak of pipeline manages carefully owing to spread other situation such as fire and explosion. Although various researches have been studied in the convergence between computer science and chemical engineering, they need a number of input variables and professional knowledge. These kinds of method are insufficient for progressing quickly to reliable situation. We developed leak location algorithm for the cause of leak on each sector in the virtually set up region.
Keywords
"Pipelines","Data models","Leak detection","Neural networks","Temperature measurement","Algorithm design and analysis","Predictive models"
Publisher
ieee
Conference_Titel
Information Science and Industrial Applications (ISI), 2015 Fourth International Conference on
Print_ISBN
978-1-4673-9313-3
Type
conf
DOI
10.1109/ISI.2015.11
Filename
7470440
Link To Document