One Fault Diagnosis Method of Telecommunications Network

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Abstract:

Telecommunications network fault location process of the root cause is the fault diagnosis process, there are mature products in general is the use of rule-based approach, rule-based approach is not suitable because of its inherent defects in the application of large-scale telecommunications networks, Thought about the uncertainty and incomplete of telecommunications networks events in nature, this article applied Bayesian network method to solve the information uncertainty and incomplete of telecommunications networks events, taking on the Bayesian reasoning method, proposed three optimization methods, namely, narrow range method, pretreatment method and the results of validation and verification method. with experiment on an actual existing network, these tree methods can effectively improve the telecommunications network fault diagnostic accuracy, lower false alarm rate.

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Periodical:

Advanced Materials Research (Volumes 301-303)

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1172-1177

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Online since:

July 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhang Deli, Research of Fault Intelligent Diagnosis Based on Bayesian Network[D], Beijing: North China Electric Power University, (2008).

Google Scholar

[2] Li Jianchuan, Bayesian network method for fault diagnosis and maintenance and application of decision-making, Changsha city China: National Defense University, (2002).

Google Scholar

[3] Shang Weifeng, Majin, Guxiaofei . Quickly set up based on Bayesian network fault diagnosis system.

Google Scholar

[4] Bacchus F., Dalmao S., and Pitassi T. Value elimination: Bayesian inference via backtracking search[C], Uncertainty in Artificial Intelligence(UAI-03), (2003).

DOI: 10.1613/jair.2648

Google Scholar

[5] Zhong Shiqun, Zhu Chengrong, Xiong Qibang. Integration based on Bayesian network model for fault location.

Google Scholar

[6] Deng R H, Lazar A A, Wang W, A Probabilistic Approach to Fault Diagnosis in Linear Lightwave Networks[C]. IEEE Journal on Selected Areas in Communications, 1993, 11(9): 1438-1448.

DOI: 10.1109/49.257935

Google Scholar

[7] Steinder M, Sethi A S. End-to-End Service Failure Diagnosis Using Belief Networks[A]. in Network Operations and Management Symposium(NOMS). Florence, Italy: (2002).

DOI: 10.1109/noms.2002.1015595

Google Scholar