Advances, Systems and Applications
Table 1 Sub-problems of Fault Detection
Sub-Problem | Description | Type of method | Status |
|---|---|---|---|
Line trip fault prediction | Diagnose and predict faults through changes in current before they occur. | SAE + DLNN LSTM + SVM PCA + SVM + SSAE | [39] [19] [20] |
Power distribution during faults | When a fault occurs in a distribution line, the system can exchange electricity in a larger area faster than before. | GA | [10] |
Fault diagnosis | Improving the accuracy of Electrical fault diagnosis. | ES + FL BN BN + MLP Petri WT + ANN | [34] [23] [24] [40] [41] |
Automatic recovery after power outage | Automatically restore power when an emergency occurs in the system. | ES | [33] |
Fault detection and classification | Detect faults in the power system and classify them for processing | RNN, LSTM, GRU, FFNN, ANN GAN + CNN RS + KCV WT + DNN CWT + CNN GAN + CNN Petri + Kalman filter WT + MRA + ANN | [38] [42] [45] [46] [49] [50] |
Detect transformer faults | Identify faults in the transformer. | CSAE + DBN + BP DBSAE + DGA | [51] [52] |
Cable fault diagnosis | Identify faults in the cable. | DBN | [53] |
Single-phase grounding fault diagnosis | When a grounding fault occurs in a small current system, it is necessary to quickly diagnose it to shorten the time of operation with faults. | ACNN | [27] |
Fault cause analysis and rapid restoration of power supply | Analyze the cause of the malfunction and restore power supply. | CNN | [54] |
Fault assessment | Evaluate unlearned faults. | Transfer learning | [55] |