Modified Greedy Algorithm-based Fault Diagnosis for Power Communication Networks
The currently prevailing fault diagnosis method for power communication networks has poor performance mani-fested by inferior sensitivity and accuracy.To address those shortcomings a modified greedy algorithm-based fault diagno-sis method for power communication networks was proposed.By employing a data acquisition card,the status data infor-mation of the communication network through the physical layer,link layer,network layer,and transmission layer were acquired,thereby establishing a communication network fault diagnosis problem model.The iteration cycle of the greedy algorithm was optimized to achieve the modified algorithm which was then used to solve the problem model and realize fault diagnosis decision-making.The proposed method was indicated by experiments to have a sensitivity of over 95% and a recall rate of over 90%,and thereby promising applicative potential in the field of power communication network fault diagnosis.
modified greedy algorithmpower communication networkfault diagnosisdata acquisition cardproblem modeliteration period