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

Liu Liu, Ma Chengqian

Abstract


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.


Keywords


Artificial Neural Network;Fault Detection in tunnels;Fault Tree

Full Text:

PDF


DOI: http://doi.org/10.11591/ijeecs.v12.i10.pp7337-7342
Total views : 77 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

shopify stats IJEECS visitor statistics