Automatic bearing fault diagnosis using particle swarm clustering and Hidden Markov Model.
Mitchell YuwonoYong QinJing ZhouYing GuoBranko G. CellerSteven W. SuPublished in: Eng. Appl. Artif. Intell. (2016)
Keyphrases
- hidden markov models
- fault diagnosis
- particle swarm
- monitoring and fault diagnosis
- particle swarm optimization
- optimization method
- particle swarm optimization algorithm
- expert systems
- fault detection
- swarm intelligence
- multi objective
- bp neural network
- neural network
- speech recognition
- operating conditions
- chemical process
- clustering method
- fault detection and diagnosis
- evolutionary algorithm
- clustering algorithm
- conditional random fields
- multiple faults
- differential evolution
- fitness function
- fuzzy logic
- k means
- cluster analysis
- pso algorithm
- hybrid algorithm
- optimization methods
- power plant
- optimization algorithm
- unsupervised learning
- machine learning
- steady state
- speech signal
- simulated annealing
- multi sensor information fusion
- genetic algorithm
- hidden states
- real time
- global optimization