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