Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings.
Zhiwen LiuHongrui CaoXueFeng ChenZhengjia HeZhongjie ShenPublished in: Neurocomputing (2013)
Keyphrases
- vibration signal
- monitoring and fault diagnosis
- condition monitoring
- pso algorithm
- fault diagnosis
- fault detection
- particle swarm optimization
- support vector machine svm
- support vector
- adaptive particle swarm optimization
- wavelet transform
- support vector machine
- wavelet analysis
- operating conditions
- extracted features
- particle swarm optimization pso
- denoising
- morphological filters
- autoregressive
- particle swarm optimisation
- high frequency
- particle swarm optimization algorithm
- global optimization
- frequency band
- feature vectors
- feature selection
- median filter
- classification accuracy
- training set
- optimization algorithm
- expert systems
- feature extraction
- differential evolution
- feature set
- pid controller
- genetic algorithm
- feature space
- training samples
- multiresolution