A Fault Detection Mechanism Based on Artificial Neural Network Distributed in Tunnel

Liu Liu, Ma Chengqian


This paper has made a qualitative and quantitative analysis by establishing the tunnel fault tree and giving the minimal cut sets of the faults in tunnel, and tested the data in tunnel combined with artificial neural network. The fault detection mechanism in this article has been simulated by MatLab and processed a lot of the actual data through the tunnel operating history. Experimental results show that: This fault detection mechanism is effective.


Artificial Neural Network;Fault Detection in tunnels;Fault Tree

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DOI: http://doi.org/10.11591/ijeecs.v12.i10.pp7337-7342


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The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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