Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks.
Turker InceJunaid MalikOzer Can DeveciogluSerkan KiranyazOnur AvciLevent ErenMoncef GabboujPublished in: CoRR (2021)
Keyphrases
- fault diagnosis
- rotating machinery
- neural network
- monitoring and fault diagnosis
- fault detection
- fuzzy logic
- expert systems
- operating conditions
- bp neural network
- rbf neural network
- electronic equipment
- industrial systems
- gas turbine
- fault detection and diagnosis
- artificial neural networks
- fault identification
- failure diagnosis
- multiple faults
- decision making
- artificial intelligence
- complex systems
- fault detection and isolation
- tennessee eastman
- genetic algorithm
- analog circuits
- chemical process
- back propagation
- condition monitoring
- bp algorithm
- competitive learning
- real time
- power plant
- fuzzy systems
- soft computing
- multilayer perceptron
- electrical power systems
- steam turbine
- neural network model
- self organizing maps
- multi sensor information fusion