A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes.
Mathias Van HerrewegheMathias VerbekeWannes MeertTom JacobsPublished in: PKDD/ECML Workshops (2) (2019)
Keyphrases
- tool wear
- machine learning
- cutting tool
- machining processes
- condition monitoring
- industrial processes
- failure prediction
- flank wear
- multi sensor
- manufacturing processes
- machine learning methods
- machine learning algorithms
- pattern recognition
- decision trees
- real time
- computational intelligence
- learning algorithm
- data mining
- computer vision
- acoustic emission