Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals.
Francisco de Assis BoldtThomas W. RauberFlávio Miguel VarejãoMarcos Pellegrini RibeiroPublished in: INDIN (2015)
Keyphrases
- fault diagnosis
- feature selection
- vibration signal
- monitoring and fault diagnosis
- feature ranking
- condition monitoring
- neural network
- fault detection
- operating conditions
- expert systems
- fuzzy logic
- wavelet transform
- feature set
- support vector machine
- support vector
- incipient fault
- multi sensor information fusion
- classification accuracy
- feature space
- power plant
- chemical process
- machine learning
- extracted features
- feature extraction