Weak fault diagnosis of rotating machinery based on feature reduction with Supervised Orthogonal Local Fisher Discriminant Analysis.
Feng LiJiaxu WangMinking K. ChyuBaoping TangPublished in: Neurocomputing (2015)
Keyphrases
- rotating machinery
- fault diagnosis
- feature reduction
- fault detection
- feature selection
- rough sets
- text categorization
- random forest
- neural network
- feature set
- linear discriminant analysis
- reduction method
- expert systems
- classification accuracy
- fuzzy logic
- semi supervised
- supervised learning
- texture segmentation
- monitoring and fault diagnosis
- operating conditions
- rough set theory
- knn
- viterbi algorithm
- learning algorithm
- multi sensor information fusion
- multiple faults
- chemical process
- unsupervised learning
- k nearest neighbor
- support vector machine
- machine learning
- feature extraction
- real time
- unlabeled data
- principal component analysis
- nearest neighbor
- decision making
- semi supervised learning
- labeled data
- text classification
- control system
- power transformers
- training data