scholarly journals Comparative Study for nominated safety manager and the organization of safety management committee by year through the research on the actual condition

2015 ◽  
Vol 17 (3) ◽  
pp. 97-104
Author(s):  
Yuna Kwon ◽  
Young-Guk Kwon
2011 ◽  
Vol 403-408 ◽  
pp. 3144-3148
Author(s):  
Shuai Wang ◽  
Jian Jun Yu ◽  
Ming Qing Yan ◽  
Shu Ying Xiao

Natural gas pipeline network is one of the most important city lifeline. Because of the complex process of pipeline operation, there has not an authoritative and reliable way to detect leakage. Taking into account the current continuous progress of pipeline network simulation and mature of gas SCADA system, the fault of natural gas pipeline network can be diagnosed by pattern recognition method. The method takes full advantage of the existing detection technology and the actual condition of the pipe network. It is very useful for pipeline safety management and maintenance.


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