Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers.
Rafia Nishat TomaAlexander E. ProsvirinJong-Myon KimPublished in: Sensors (2020)
Keyphrases
- fault diagnosis
- fault detection and diagnosis
- machine learning
- genetic algorithm
- monitoring and fault diagnosis
- induction motor
- neural network
- fuzzy logic
- decision trees
- fault detection
- feature selection
- expert systems
- support vector
- analog circuits
- electronic equipment
- gas turbine
- operating conditions
- bp neural network
- computational intelligence
- multiple faults
- artificial neural networks
- rbf neural network
- power transformers
- support vector machine
- multi objective
- condition monitoring
- rotating machinery
- tennessee eastman
- fitness function
- power plant
- artificial intelligence
- learning algorithm
- data mining
- evolutionary algorithm
- pattern recognition
- fuzzy rules
- particle swarm optimization