Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks.
Dileep Kumar AppanaAlexander E. ProsvirinJong-Myon KimPublished in: Soft Comput. (2018)
Keyphrases
- fault diagnosis
- neural network
- condition monitoring
- expert systems
- fuzzy logic
- fault detection
- power transformers
- vibration signal
- bp neural network
- rotating machinery
- monitoring and fault diagnosis
- rbf neural network
- electrical power systems
- operating conditions
- electronic equipment
- fault detection and diagnosis
- gas turbine
- industrial systems
- chemical process
- multiple faults
- power plant
- artificial neural networks
- image processing
- genetic algorithm
- fault identification
- neural network model
- back propagation
- steam turbine
- analog circuits
- fault diagnostic
- bp algorithm
- failure diagnosis
- fuzzy inference
- wavelet transform
- artificial intelligence
- data mining