Application of machine learning methods in fault detection and classification of power transmission lines: a survey

Engineering & Materials Science

• Power transmission 92%
• Fault detection 89%
• Electric lines 79%
• Machine learning 70%
• Feedforward neural networks 35%
• Random forests 33%
• Fuzzy inference 33%
• Decision trees 30%
• Smart power grids 30%
• Convolutional neural networks 29%
• Failure analysis 27%
• Support vector machines 25%
• Classifiers 22%
• Neural networks 19%

Arts & Humanities

• Machine Learning 100%
• Fault 97%
• Neural Networks 45%
• Artificial Neural Network 27%
• Nearest Neighbor 25%
• Classifier 22%
• Support Vector Machine 22%
• Interruption 21%
• Grid 21%
• Decision Tree 20%
• Fuzzy 20%
• Inference 16%
• Energy 14%
• Methodology 9%

Social Sciences

• learning method 93%
• neural network 85%
• learning 24%
• energy 16%
• methodology 12%