Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine.
Shuen-De WuPo-Hung WuChiu-Wen WuJian-Jiun DingChun-Chieh WangPublished in: Entropy (2012)
Keyphrases
- fault diagnosis
- multiscale
- support vector machine
- monitoring and fault diagnosis
- expert systems
- neural network
- fault detection
- rotating machinery
- bp neural network
- fault detection and diagnosis
- image processing
- fuzzy logic
- support vector machine svm
- power transformers
- condition monitoring
- kernel function
- training data
- wavelet transform
- rbf neural network
- electronic equipment
- analog circuits
- edge detection
- chemical process
- feature vectors
- feature space
- gas turbine
- fault identification
- industrial systems
- failure diagnosis
- feature selection
- operating conditions
- support vector
- support vector regression
- training set
- knn
- fault tree
- multi sensor information fusion
- fault detection and isolation
- multiple faults
- power plant
- radial basis function
- image segmentation
- machine learning
- electrical power systems
- artificial intelligence