Hierarchical diagnosis of bearing faults using branch convolutional neural network considering noise interference and variable working conditions.
Kaige SuJianhua LiuHui XiongPublished in: Knowl. Based Syst. (2021)
Keyphrases
- convolutional neural network
- fault diagnosis
- fault detection
- model based diagnosis
- multiple faults
- fault detection and diagnosis
- face detection
- neural network
- root cause
- random noise
- sufficient conditions
- received signal
- fault model
- signal to noise ratio
- operating conditions
- fault detection and isolation
- weak signal detection
- structural model
- model based reasoning
- fault localization
- medical diagnosis
- noise reduction
- fault identification
- direct sequence spread spectrum
- condition monitoring
- noise model
- dynamic systems
- coarse to fine
- noisy data
- edge detection
- color images
- feature space
- object recognition
- multiscale
- image processing