Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise.
Jing-Xiao LiaoChao HeJipu LiJinwei SunShiping ZhangXiaoge ZhangPublished in: CoRR (2024)
Keyphrases
- fault diagnosis
- blind deconvolution
- total variation
- denoising
- monitoring and fault diagnosis
- gaussian noise
- vibration signal
- neural network
- noise removal
- image denoising
- noisy images
- fault detection
- expert systems
- image deblurring
- image restoration
- image processing
- noise level
- natural images
- bp neural network
- noise reduction
- fuzzy logic
- rbf neural network
- condition monitoring
- blurred images
- training set
- training data
- signal to noise ratio
- wavelet packet
- point spread function
- feature space
- artificial intelligence
- bayesian framework
- frequency domain
- multi frame
- multiresolution
- impulse noise