| Title | Cascaded Fault Diagnosis Based on Weighted Computer Network in Smart City Environment Considering Focusing Fuzzy Clustering Algorithm |
|---|---|
| ID_Doc | 45530 |
| Authors | Liang, TT |
| Title | Cascaded Fault Diagnosis Based on Weighted Computer Network in Smart City Environment Considering Focusing Fuzzy Clustering Algorithm |
| Year | 2019 |
| Published | |
| Abstract | In view of the cascaded fault diagnosis based on the weighted computer network in the smart city environment that needs to be solved urgently, the cascade relationship between the network nodes is studied on the basis of the focusing fuzzy clustering algorithm, and a kind of cascaded fault diagnosis based on the weighted computer network in the smart city environment considering the focusing fuzzy clustering algorithm is put forward. In this method, the influence of the fault identification and fault diagnosis behavior on the cascade metrics is taken into full consideration. The historical interaction evidence window, the timeliness factor and the penalty factor are introduce, and the aggregation method of the direct cascaded degree and the indirect cascaded degree is provided, which has improved the accuracy of the cascaded fault diagnosis based on the weighted computer network and effectively suppressed the threat of the abnormal entities. The simulation results show that compared with the traditional methods, the method put forward in this paper can diagnose the cascaded degree effectively and has good dynamic adaptability at the same time. |
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