Bearing Fault Diagnosis Based on Convolutional Neural Networks with Kurtogram Representation of Acoustic Emission Signals.
Alexander E. ProsvirinJaeyoung KimJong-Myon KimPublished in: CSA/CUTE (2017)
Keyphrases
- acoustic emission
- fault diagnosis
- condition monitoring
- monitoring and fault diagnosis
- convolutional neural networks
- fault detection
- neural network
- power transformers
- expert systems
- industrial systems
- fuzzy logic
- bp neural network
- fault detection and diagnosis
- vibration signal
- rotating machinery
- electronic equipment
- operating conditions
- chemical process
- fault identification
- multi sensor information fusion
- gas turbine
- decision support system
- fault detection and isolation
- analog circuits
- complex systems
- image processing
- multiple faults
- multiscale
- knowledge base