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Reference | Technique | Limitation | Advantage |
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Field of troubleshooting |
[1] | CNN | The data used differ from real scenarios, which can easily lead to many faults being detected | Improved models such as ResNet and GAN are applied to improve model performance |
[2] | EKNN | Only for small datasets | Solves the problem of inefficiency of KNN |
[3] | GRU | Higher calculation costs | Convert one-dimensional data into two-dimensional images to fully utilize the temporal information of the data |
[4–6] | CNN-LSTM | More complex model structure and longer training time | CNN has a denoising property that reduces the effect of noise in the learning process, and LSTM learns the long-term dependencies of time series |
[7] | CNN | The amount of experimental data is large and not easily accessible | Better design model performance |
Fields of track circuits |
[8] | BPNN | Only one device in the track circuit is studied, not the complete track circuit system | Simulation models were designed to allow access to experimental data |
[9] | Neurofuzzy | The model needs further performance enhancements | It combines the advantages of fuzzy logic and neural networks and can be learned through the neural network training process |
[10] | LSTM | Larger experimental data and higher computational costs | Experimental data combining temporal and spatial features |
[11] | KPCA-SAE | The accuracy is 93.04%, and further improvement of the model performance is needed | Enables fault localization |
[12] | Gray’s theory and expert system | More information needs to be collected and the amount of data is larger | Diagnosis of data predicted by Gray’s theory using an expert system |
[13] | SVM | Accuracy is 96%, model performance needs further improvement | Build a simulation model to obtain the data needed for the experiment |
[14] | DBN | The method is more costly to calculate | Optimizing the network model by combining particle swarm algorithm to improve the robustness and accuracy of the network |
[15] | Rough set and graph theory | The method is more costly to calculate | The method can effectively reduce the time and space complexity |
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