A Blind Deconvolution Approach Based on Spectral Harmonics-to-Noise Ratio for Rotating Machinery Condition Monitoring.
Qiuyang ZhouCai YiLei YanChenguang HuangJianhui LinPublished in: IEEE Trans Autom. Sci. Eng. (2023)
Keyphrases
- condition monitoring
- rotating machinery
- blind deconvolution
- fault detection
- fault diagnosis
- noise ratio
- total variation
- image deblurring
- neural network
- frequency domain
- point spread function
- fuzzy logic
- multi frame
- blurred images
- high frequency
- signal to noise ratio
- expert systems
- image denoising
- received signal
- map estimation
- noise reduction
- power plant
- image restoration
- denoising
- bayesian framework
- motion estimation
- feature vectors
- genetic algorithm