Multi-fault diagnosis for rotating machinery based on orthogonal supervised linear local tangent space alignment and least square support vector machine.
Zuqiang SuBaoping TangZiran LiuYi QinPublished in: Neurocomputing (2015)
Keyphrases
- rotating machinery
- fault diagnosis
- fault detection
- expert systems
- fault detection and diagnosis
- neural network
- fuzzy logic
- power transformers
- operating conditions
- bp neural network
- rbf neural network
- failure diagnosis
- monitoring and fault diagnosis
- fault identification
- analog circuits
- semi supervised
- learning algorithm
- gas turbine
- electronic equipment
- chemical process
- multi sensor information fusion
- condition monitoring
- power plant
- manifold learning
- industrial systems
- multiple faults
- fault detection and isolation
- soft computing methods
- intelligent systems
- decision making
- feature selection