Application of Machine Learning Algorithms for Tool Condition Monitoring in Milling Chipboard Process.
Agata Przybys-MalaczekIzabella AntoniukKarol SzymanowskiMichal KrukJaroslaw KurekPublished in: Sensors (2023)
Keyphrases
- machine learning algorithms
- tool wear
- condition monitoring
- cutting tool
- benchmark data sets
- machine learning methods
- learning algorithm
- machine learning
- predictive accuracy
- decision trees
- machine learning models
- machine learning approaches
- random forests
- input features
- knowledge base
- feature extraction
- fault detection
- fault diagnosis
- decision making
- natural language processing
- manufacturing processes
- artificial intelligence
- multi class