Simple is good: Investigation of history-state ensemble deep neural networks and their validation on rotating machinery fault diagnosis.
Yu WangAlexey VinogradovPublished in: Neurocomputing (2023)
Keyphrases
- fault diagnosis
- rotating machinery
- neural network
- fault detection
- fault detection and diagnosis
- fuzzy logic
- expert systems
- monitoring and fault diagnosis
- bp neural network
- electronic equipment
- gas turbine
- power transformers
- condition monitoring
- operating conditions
- rbf neural network
- multiple faults
- chemical process
- failure diagnosis
- industrial systems
- tennessee eastman
- data mining
- fault identification
- fault tree
- electrical power systems
- self organizing maps
- artificial neural networks
- analog circuits
- bp algorithm
- soft computing methods
- power plant
- multilayer perceptron
- mathematical model
- steam turbine
- state space
- fault diagnostic
- multi sensor information fusion