Terminal Communication Network Fault Diagnosis Algorithm Based on TOPSIS Algorithm
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In order to improve the performance of fault diagnosis algorithm for power communication network, a fault location model based on fault and symptom information of power communication network is constructed. A fault diagnosis algorithm for power communication network based on TOPSIS algorithm is proposed. First, the fault symptom matrix is used to model the problem, and the working state of the underlying network resource is correlated with the running symptom information of the upper layer power service. Secondly, a fault diagnosis algorithm for power communication network based on TOPSIS algorithm is proposed. The algorithm includes four sub-processes: constructing a Bayesian fault location model based on the set of detection results, sorting suspected fault sets and fault analysis based on TOPSIS, and selecting fault nodes in turn using the maximum coverage. In the simulation experiment part, compared with the existing algorithms, it is verified that the proposed algorithm effectively improves the accuracy and reduces the false positive rate of the fault diagnosis algorithm.
KeywordsPower terminal communication network Fault diagnosis Fault Symptom TOPSIS
This work is supported by science and technology project of State Gird Liaoning Electric Power Supply Company (Research and application of communication access network channel status monitoring and quality control technology in mixed network mode, project No. 2018YF-50).
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