Intelligent Fault Identification for Rolling Element Bearings in Impulsive Noise Environments Based on Cyclic Correntropy Spectra and LSSVM.
Xuejun ZhaoYong QinChangbo HeLimin JiaPublished in: IEEE Access (2020)
Keyphrases
- impulsive noise
- fault identification
- ls svm
- color images
- fault detection
- median filter
- underwater vehicles
- image deblurring
- fault diagnosis
- median filtering
- noise reduction
- gaussian noise
- impulse noise
- least squares
- cross validation
- pattern recognition
- support vector machine
- prediction model
- gray scale
- variable selection
- bp neural network
- rbf neural network
- control system
- image enhancement
- image restoration