Fault Diagnosis of Rolling Bearings Based on a Residual Dilated Pyramid Network and Full Convolutional Denoising Autoencoder.
Hongmei ShiJingcheng ChenJin SiChangchang ZhengPublished in: Sensors (2020)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- denoising
- condition monitoring
- expert systems
- neural network
- operating conditions
- industrial systems
- chemical process
- gas turbine
- fault detection and diagnosis
- vibration signal
- fault detection
- fuzzy logic
- multiple faults
- rotating machinery
- bp neural network
- electronic equipment
- power transformers
- restricted boltzmann machine
- failure diagnosis
- multi sensor information fusion
- analog circuits
- industrial applications
- network structure
- deep learning
- data flow
- fault identification
- natural images
- electrical power systems
- tennessee eastman
- multiresolution
- multiscale