NDLI: Research on fault location technology based on BP neural network in DWDM optical network

Content Provider	Springer Nature Link
Author	Liao, Xiao min Zhang, Yin fa Yang, Shi ping Lin, Chu shan
Copyright Year	2008
Abstract	BP neural network is introduced to the fault location field of DWDM optical network in this paper. The alarm characteristics of the optical network equipments are discussed, and alarm vector and fault vector diagrams are generated by analyzing some typical instances. A 17 × 14 × 18 BP neural network structure is constructed and trained by using MATLAB. By comparing the training performances, the best training algorithm of fault location among the three training algorithms is chosen. Numerical simulation results indicate that the sum squared error (SSE) of fault location is less than 0.01, and the processing time is less than 100 ms. This method not only well deals with the missing alarms or false alarms, but also improves the fault location accuracy and real-time ability.
Starting Page	452
Ending Page	455
Page Count	4
File Format	PDF
ISSN	16731905
Journal	Optoelectronics Letters
Volume Number	4
Issue Number	6
e-ISSN	19935013
Language	English
Publisher	Tianjin University of Technology
Publisher Date	2008-11-13
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Applied Optics, Optoelectronics, Optical Devices
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Condensed Matter Physics Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering

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Research on fault location technology based on BP neural network in DWDM optical network