Fault diagnosis of rolling element bearing using cyclic autocorrelation and wavelet transform.
Pavan Kumar KankarSatish C. SharmaSuraj Prakash HarshaPublished in: Neurocomputing (2013)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- wavelet transform
- vibration signal
- multiresolution
- fault detection
- multiscale
- neural network
- image compression
- expert systems
- fault detection and diagnosis
- condition monitoring
- subband
- wavelet coefficients
- rbf neural network
- fuzzy logic
- electronic equipment
- wavelet analysis
- feature extraction
- bp neural network
- multiple faults
- soft computing methods
- low frequency
- electrical power systems
- high frequency
- non stationary
- industrial systems
- fault identification
- multi sensor information fusion
- chemical process
- gas turbine
- probabilistic neural networks
- analog circuits
- operating conditions
- image processing
- artificial intelligence
- failure diagnosis
- power transformers
- complex systems
- control system
- machine learning