Convolutional neural network-based hidden Markov models for rolling element bearing fault identification.
Shuhui WangJiawei XiangYongteng ZhongYuqing ZhouPublished in: Knowl. Based Syst. (2018)
Keyphrases
- hidden markov models
- fault identification
- fault detection
- underwater vehicles
- fault diagnosis
- neural network
- single phase
- speech recognition
- markov models
- viterbi algorithm
- continuous hidden markov models
- gesture recognition
- conditional random fields
- sequence classification
- markov model
- discriminative training
- visual speech recognition
- fault isolation
- hidden states
- mathematical model
- sequential data
- mathematical models
- hidden state
- computer simulation
- random effects
- control system
- evolutionary algorithm
- machine learning