Roller Bearing Failures Classification with Low Computational Cost Embedded Machine Learning.
Matteo BertoccoAda FortElia LandiMarco MugnainiLorenzo ParriGiacomo PeruzziAlessandro PozzebonPublished in: MetroAutomotive (2022)
Keyphrases
- machine learning
- machine learning methods
- pattern recognition
- supervised machine learning
- decision trees
- text classification
- feature selection
- supervised learning
- data mining
- machine learning algorithms
- support vector machine
- support vector
- classification accuracy
- machine learning approaches
- automatic classification
- computer vision
- image classification
- classification rate
- feature extraction
- pattern classification
- knowledge representation
- classification algorithm
- statistical learning
- supervised classification
- classification models
- classification scheme
- classification process
- svm classifier
- data sets
- transductive inference
- decision rules
- feature space
- class labels
- support vector machine svm
- model selection
- training data
- text mining
- data analysis
- active learning
- training set