A Physically Segmented Hidden Markov Model Approach for Continuous Tool Condition Monitoring: Diagnostics and Prognostics.
Omid GeramifardJian-Xin XuJunhong ZhouXiang LiPublished in: IEEE Trans. Ind. Informatics (2012)
Keyphrases
- hidden markov models
- condition monitoring
- fault detection
- tool wear
- fault diagnosis
- speech recognition
- acoustic emission
- conditional random fields
- markov models
- viterbi algorithm
- hidden states
- gesture recognition
- sequential data
- markov model
- hidden state
- handwritten word recognition
- multi stream
- discriminative training
- baum welch
- feature extraction
- topic models
- hierarchical dirichlet process
- data mining techniques
- mixture distributions
- dynamic probabilistic networks