A machine learning-based approach for comprehensive fault diagnosis in transmission lines.
Isternândia Araújo FrançaCynthia Wanick VieiraDaniel Correa RamosLara Hoffmann SathlerEduardo G. CarranoPublished in: Comput. Electr. Eng. (2022)
Keyphrases
- fault diagnosis
- transmission line
- operating conditions
- machine learning
- neural network
- power distribution
- fault detection
- expert systems
- electronic equipment
- fuzzy logic
- bp neural network
- condition monitoring
- chemical process
- power transformers
- analog circuits
- power system
- decision trees
- monitoring and fault diagnosis
- gas turbine
- fault detection and diagnosis
- magnetic field
- artificial neural networks
- industrial systems
- fault identification
- rotating machinery
- learning algorithm
- multiple faults
- multi sensor information fusion
- power plant
- tennessee eastman
- fault diagnostic
- artificial intelligence
- reinforcement learning
- image segmentation
- electrical power systems
- knowledge base