A self-organizing map method for optical fiber fault detection and location

  • Authors:

  • Yi Chai;Wenzhou Dai;Maoyun Guo;Shangfu Li;Zhifen Zhang

  • Affiliations:

  • College of Automation, Chongqing University, Chongqing, China;College of Automation, Chongqing University, Chongqing, China;College of Automation, Chongqing University, Chongqing, China;Xichang Satellite Launch Center, Xichang, Sichuang, China;Xichang Satellite Launch Center, Xichang, Sichuang, China

  • Venue:
  • ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

As optical fiber is subject to faults, normal communication will be affected. An intelligent method of detection and location for communication optical fiber is put forward in this paper. According to spatial characters of geographic distributing of optical fiber network, nodes and links topo model of the network is built. Adopting the ANN algorithm in this paper, the nodes are classified according to the structure of optical fiber communication network, an effective ergodicity detection strategy of nodes and links is built, and free optical fiber and optical cable are detected termly. Through the simulation, the method which is put forward in this paper is validated. When optical fiber communication network extend, the method can form a new ergodique detection strategy of nodes and links based on the nodes classified, and the on-line dynamic detection of communication optical fiber can be realized.