A wavelet transform-artificial neural network (WT-ANN) based rotating machinery fault diagnostics methodology.
Seref Naci EnginKayhan GulezPublished in: NSIP (1999)
Keyphrases
- wavelet transform
- artificial neural networks
- rotating machinery
- fault detection
- fault diagnosis
- neural network
- condition monitoring
- multiresolution
- image coding
- image compression
- multiscale
- subband
- power plant
- high frequency
- wavelet coefficients
- expert systems
- back propagation
- low frequency
- wavelet analysis
- frequency ranges
- feature extraction
- genetic algorithm
- power quality disturbance
- fault tree
- feed forward
- computational intelligence
- soft computing
- levenberg marquardt
- radial basis function
- multi resolution analysis
- learning rules
- feed forward neural networks
- filter bank
- genetic algorithm ga
- ann models
- wavelet bases
- lifting scheme
- predictive model
- multiresolution analysis
- feature vectors
- image segmentation