Intelligent fault diagnosis of rolling element bearings using sparse wavelet energy based on overcomplete DWT and basis pursuit.
Cong WangMeng GanChang'an ZhuPublished in: J. Intell. Manuf. (2017)
Keyphrases
- basis pursuit
- denoising
- monitoring and fault diagnosis
- vibration signal
- fault diagnosis
- natural images
- wavelet domain
- discrete wavelet transform
- condition monitoring
- compressed sensing
- wavelet transform
- image denoising
- industrial systems
- total variation
- sparse representation
- image processing
- convex optimization
- multiresolution
- frequency domain
- wavelet decomposition
- expert systems
- wavelet coefficients
- operating conditions
- wavelet packet
- electronic equipment
- neural network
- wavelet analysis
- gas turbine
- power transformers
- proximal point algorithm
- linear combination
- rotating machinery
- image reconstruction
- multiscale
- intelligent systems
- fault detection and diagnosis
- high frequency
- fault detection
- power spectrum
- fuzzy logic
- chemical process
- multiple faults
- low frequency
- subband
- image classification
- computational intelligence