Using machine learning for cutting tool condition monitoring and prediction during machining of tungsten.
Samuel OmoleHakan DoganAlexander J. G. LuntSimon KirkAlborz ShokraniPublished in: Int. J. Comput. Integr. Manuf. (2024)
Keyphrases
- cutting tool
- condition monitoring
- flank wear
- tool wear
- machine learning
- fault diagnosis
- fault detection
- computer aided design
- nuclear power plant
- pattern recognition
- acoustic emission
- computational intelligence
- neural network
- power transformers
- multiresolution
- computer vision
- multiscale
- image processing
- genetic algorithm
- data mining