An adaptive underdamped stochastic resonance based on NN and CS for bearing fault diagnosis.
Kuo ChiJianshe KangFei ZhaoLong LiuPublished in: Int. J. Syst. Assur. Eng. Manag. (2019)
Keyphrases
- fault diagnosis
- neural network
- monitoring and fault diagnosis
- stochastic resonance
- bp neural network
- bp algorithm
- rbf neural network
- image enhancement
- signal to noise ratio
- contrast enhancement
- fuzzy logic
- expert systems
- operating conditions
- fault detection
- power transformers
- fault detection and diagnosis
- condition monitoring
- gas turbine
- artificial neural networks
- electronic equipment
- neural network model
- chemical process
- back propagation
- electrical power systems
- rotating machinery
- pattern recognition
- analog circuits
- signal processing
- multiple faults
- multi sensor information fusion
- fault diagnostic
- power plant
- additive noise
- adaptive learning
- color images
- image analysis
- knowledge base
- genetic algorithm