A comparative evaluation of neural networks and hidden Markov models for monitoring turning tool wear.
C. SchefferHerman EngelbrechtP. S. HeynsPublished in: Neural Comput. Appl. (2005)
Keyphrases
- hidden markov models
- comparative evaluation
- tool wear
- neural network
- feed rate
- condition monitoring
- cutting tool
- multi sensor
- markov model
- sequence classification
- pattern recognition
- conditional random fields
- sequential data
- acoustic emission
- speech recognition
- fault diagnosis
- markov models
- fuzzy logic
- baum welch
- viterbi algorithm
- infrared
- genetic algorithm
- hidden states
- stochastic context free grammars
- manufacturing processes
- fault detection
- hidden state
- computer vision
- data fusion
- control system