Comparison of Artificial Neural Networks and Dynamic Principal Component Analysis for Fault Diagnosis.
Juan C. Tudon MartinezRubén Morales-MenéndezLuis E. Garza-CastañónRicardo Ramírez-MendozaPublished in: IEA/AIE (1) (2011)
Keyphrases
- fault diagnosis
- artificial neural networks
- neural network
- principal component analysis
- fault detection and isolation
- fault detection
- expert systems
- bp neural network
- fault detection and diagnosis
- operating conditions
- electrical power systems
- monitoring and fault diagnosis
- rotating machinery
- rbf neural network
- multiple faults
- chemical process
- electronic equipment
- fault isolation
- power transformers
- computational intelligence
- fault identification
- analog circuits
- power system
- multi sensor information fusion
- gas turbine
- condition monitoring
- back propagation
- bp algorithm
- failure diagnosis
- industrial systems
- soft computing methods
- fuzzy logic
- face recognition
- real time
- feature extraction
- artificial intelligence
- industrial applications
- soft computing
- genetic algorithm
- multilayer perceptron