A comparative study on classification of features by SVM and PSVM extracted using Morlet wavelet for fault diagnosis of spur bevel gear box.
N. SaravananV. N. S. Kumar SiddabattuniK. I. RamachandranPublished in: Expert Syst. Appl. (2008)
Keyphrases
- fault diagnosis
- svm classifier
- feature vectors
- support vector machine svm
- extracted features
- feature extraction
- classification method
- support vector
- svm classification
- train a support vector machine
- feature space
- support vector machine
- classification accuracy
- monitoring and fault diagnosis
- expert systems
- neural network
- fault detection
- feature set
- feature selection
- vibration signal
- bp neural network
- fault detection and diagnosis
- operating conditions
- chemical process
- power transformers
- fuzzy logic
- machine learning
- rbf neural network
- electronic equipment
- industrial systems
- gas turbine
- class labels
- rotating machinery
- multiresolution
- analog circuits
- condition monitoring
- knn
- training set
- denoising
- multiple faults
- fault identification
- kernel function
- artificial intelligence
- multi sensor information fusion
- multiscale
- wavelet analysis
- knowledge base