Mathematical Modeling for Fault Identification in Small Time Scale Network Data Transmission
In the process of network transmission,the data capacity is large,which is easily interrupted by external factors,resulting in information loss and transmission errors.To solve the problem of data transmission errors and missing caused by interruption faults,improve network utilization,and ensure normal communication of the network.Therefore,a mathematical model for identifying faults in small-scale network data transmission is proposed.Establish fault-tolerant control conditions for transmission,analyze the chaotic state and traffic sequence of small time scale net-works,describe multi-layer forward features in the network,and adjust weights and thresholds at each scale.Set a fault-tolerant strategy,train multiple small time scale networks,and obtain network interruption fault diagnosis.Targe-ted prediction of missing data is achieved by calculating parameters such as prediction error and sequence weights through functions,and adjusting weights between the fault membership level and rule set level to complete fault toler-ance identification for interruptions.Experiments have shown that the proposed method improves the network transmis-sion recall rate,increases network resource utilization,and reduces the transmission error rate of the network under in-terruption faults.
Small time scale networkNetwork flowChaos theoryInterrupt faultFault tolerance identification
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