Edge Analytics for Bearing Fault Diagnosis Based on Convolution Neural Network.
Valentin PerminovVladislav ErmakovDmitry D. KorzunPublished in: FSDM (2021)
Keyphrases
- fault diagnosis
- neural network
- monitoring and fault diagnosis
- bp neural network
- fault detection
- expert systems
- fuzzy logic
- fault detection and diagnosis
- condition monitoring
- multiple faults
- power transformers
- failure diagnosis
- edge detection
- operating conditions
- analog circuits
- rbf neural network
- data mining
- rotating machinery
- electronic equipment
- fault identification
- industrial systems
- fault detection and isolation
- chemical process
- multi sensor information fusion
- electrical power systems
- artificial neural networks
- case study
- image processing
- fault diagnostic
- gas turbine
- soft computing
- multiscale
- artificial intelligence
- control system
- bp algorithm
- feed forward neural networks
- real time
- fault tree
- back propagation
- fuzzy neural network
- power plant
- hidden layer