Diagnosis of tool wear based on cutting forces and acoustic emission measures as inputs to a neural network.
Krzysztof JemielniakLeszek KwiatkowskiPawel WrzosekPublished in: J. Intell. Manuf. (1998)
Keyphrases
- tool wear
- acoustic emission
- condition monitoring
- fault diagnosis
- neural network
- cutting tool
- fault detection
- flank wear
- failure prediction
- machining processes
- fuzzy logic
- expert systems
- artificial neural networks
- pattern recognition
- multi sensor
- multiscale
- power plant
- real time
- image processing
- decision making
- artificial intelligence
- discrete hidden markov models