Performance Degradation Assessment and Prediction Model of Power Communication Network Based on LS-SVM
SHI Jian
MIAO Weiwei
WU Haiyang
Abstract：With the increasing scale of power communication network ,the operation and maintenance personnel are more and more difficult to effectively monitor the real‐time operational status and accurately determine equipment failure . Therefore ,it is necessary to study the health state evaluation and performance degradation trend prediction of communication network operation .In this paper ,making full use of the existing mass communications network status monitoring data ,pow‐er communication network performance evaluation model based on the deterioration of the health status of the data is pro ‐posed .On this basis ,least squares support vector machine (LS‐SVM ) time series is used to forecast performance degrada‐tion ,in order to timely complete the communication network abnormal state early warning ,improve communication network operation and maintenance level ,reduce the fault caused by the loss of the network .
Keywords：power communication networkdegradation assessmentprediction model
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 610-614 )