Comparison of denoising schemes and dimensionality reduction techniques for fault diagnosis of rolling element bearing using wavelet transform.
H. S. KumarP. Srinivasa PaiN. S. SriramG. S. VijayM. Vijay PatilPublished in: Int. J. Manuf. Res. (2016)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- denoising
- vibration signal
- wavelet transform
- dimensionality reduction
- image denoising
- feature extraction
- fault detection
- wavelet domain
- expert systems
- neural network
- wavelet packet
- image processing
- operating conditions
- multiple faults
- denoising methods
- natural images
- wavelet coefficients
- condition monitoring
- multiscale
- subband
- multiresolution
- electronic equipment
- bp neural network
- image compression
- industrial systems
- fault detection and diagnosis
- high frequency
- power transformers
- rotating machinery
- chemical process
- multi sensor information fusion
- real time
- electrical power systems
- fault detection and isolation
- failure diagnosis
- fuzzy clustering
- fuzzy logic
- pattern recognition
- genetic algorithm