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.
This work was supported by 863 Program Project of China (Grant No.2003AA132050) and China Postdoctoral Science Foundation (Grant No.2004035154)
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Chai, Y., Dai, W., Guo, M., Li, S., Zhang, Z. (2005). A Self-organizing Map Method for Optical Fiber Fault Detection and Location. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_76
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DOI: https://doi.org/10.1007/11427469_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25914-5
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