A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes.
Mathias Van HerrewegheMathias VerbekeWannes MeertTom JacobsPublished in: BNAIC/BENELEARN (2019)
Keyphrases
- tool wear
- machine learning
- cutting tool
- condition monitoring
- machining processes
- failure prediction
- manufacturing processes
- industrial processes
- multi sensor
- decision trees
- machine learning methods
- flank wear
- pattern recognition
- computer vision
- data fusion
- data mining
- neural network
- software engineering
- expert systems
- learning algorithm
- acoustic emission
- genetic algorithm