Bearing Fault Classification of Induction Motor Using Statistical Features and Machine Learning Algorithms.
Rafia Nishat TomaJong-Myon KimPublished in: ISDA (2021)
Keyphrases
- machine learning algorithms
- input features
- benchmark data sets
- machine learning approaches
- machine learning models
- decision trees
- machine learning methods
- learning algorithm
- machine learning
- predictive accuracy
- supervised machine learning algorithms
- supervised learning algorithms
- induction motor
- feature vectors
- standard machine learning algorithms
- classification accuracy
- learning problems
- feature space
- learning models
- random forests
- feature set
- feature extraction
- information gain
- classification models
- feature values
- training data
- supervised learning
- fault diagnosis
- text classification
- dynamic model
- training set
- closed loop
- genetic algorithm
- real time