Fault diagnosis in industrial processes using principal component analysis and hidden Markov model.
Shaoyuan ZhouJianming ZhangShuqing WangPublished in: ACC (2004)
Keyphrases
- hidden markov models
- industrial processes
- fault diagnosis
- fault detection
- principal component analysis
- fault detection and isolation
- fault detection and diagnosis
- expert systems
- speech recognition
- operating conditions
- neural network
- independent component analysis
- rbf neural network
- bp neural network
- conditional random fields
- fuzzy logic
- viterbi algorithm
- feature space
- multi sensor information fusion
- face recognition
- chemical process
- monitoring and fault diagnosis
- quality improvement
- artificial intelligence
- data mining
- real time
- feature extraction
- power plant
- machine vision