Safety Assessment of the Buried Natural Gas Pipeline Based on Fault Tree and Fuzzy Neural Network

Special Issues Editor (Nottingham Tent University, United Kingdom (Great Britain))

With the rapid development of natural gas pipeline, the safety of natural gas pipeline is paid more and more attention to. This paper presents a new safety assessment model based on fault tree and fuzzy neural network. Firstly, in the light of fault tree theory, fault tree analytical figure is established for buried natural gas pipeline system and the index system is established about buried natural gas pipeline safety assessment model. Secondly, Analytic Hierarchy Process has been used to improve to establish the weight of every influencing factor and adopted neural network to optimize the weight of every influencing factor, to eliminate objective factor affect in the process of establishing weight, therefore, the weight of every influencing factor is in accordance with objective, then, proceeding with safety assessment for single factor and comprehensive safety assessment for buried natural gas pipeline. Finally, the model which is applied to safety assessment of buried natural gas pipeline is based on fault tree and fuzzy neural network. The results show that the model applied to safety assessment of buried natural gas pipeline is not influenced by subjective factor and safety assessment result is objective, so the model has very important practical value.

Journal: International Journal of Simulation: Systems, Science & Technology, IJSSST V17

Published: Jul 14, 2016

DOI: 10.5013/IJSSST.a.17.26.30