Rubbing Fault Diagnosis of Rotary Machinery Based on Wavelet and Support Vector Machine.
Zhihao JinShangwei JiWen JinBangchun WenPublished in: DBTA (2009)
Keyphrases
- fault diagnosis
- wavelet transform
- support vector machine
- wavelet coefficients
- expert systems
- neural network
- fault detection
- vibration signal
- multiresolution
- multiscale
- fuzzy logic
- bp neural network
- wavelet analysis
- condition monitoring
- support vector machine svm
- fault detection and diagnosis
- power transformers
- machine learning
- monitoring and fault diagnosis
- support vector
- operating conditions
- electronic equipment
- gas turbine
- rbf neural network
- training data
- rotating machinery
- feature extraction
- chemical process
- industrial systems
- power plant
- low frequency
- feature selection
- multiple faults
- subband
- denoising
- electrical power systems
- partial discharge
- dynamic model
- high frequency
- feature vectors
- support vector regression
- training set
- multi sensor information fusion
- analog circuits
- failure diagnosis
- real time
- knn
- artificial neural networks
- feature space
- genetic algorithm
- fault diagnostic