A New Spectral Clustering Based on Particle Swarm Optimization for Unsupervised Fault Diagnosis of Bearings.
Wenbin SongMingzhu LaiXinyu LiYanan SongLiang GaoPublished in: CASE (2019)
Keyphrases
- fault diagnosis
- particle swarm optimization
- condition monitoring
- pso algorithm
- neural network
- fault detection
- expert systems
- vibration signal
- fault detection and diagnosis
- particle swarm optimization algorithm
- operating conditions
- bp neural network
- multi sensor information fusion
- fuzzy logic
- multi objective
- gas turbine
- global optimization
- rbf neural network
- differential evolution
- multiple faults
- chemical process
- power transformers
- convergence speed
- monitoring and fault diagnosis
- rotating machinery
- particle swarm optimization pso
- electronic equipment
- genetic algorithm
- electrical power systems
- fault detection and isolation
- failure diagnosis
- tennessee eastman
- analog circuits
- fault identification
- industrial systems
- data mining
- fault tree
- discrete event
- power plant
- fault diagnostic
- real time