Wind Turbine Fault Detection: A Semi-Supervised Learning Approach With Automatic Evolutionary Feature Selection.
Fernando P. G. de SáDiego N. BrandãoEduardo S. OgasawaraRafaelli de C. CoutinhoRodrigo F. TosoPublished in: IWSSIP (2020)
Keyphrases
- fault detection
- fault diagnosis
- feature selection
- wind turbine
- power plant
- industrial processes
- fault identification
- failure detection
- condition monitoring
- fault detection and diagnosis
- fuel cell
- machine learning
- fault localization
- tennessee eastman
- genetic algorithm
- wind power
- fault isolation
- neural network
- fault detection and isolation
- wind energy
- robust fault detection
- real time
- evolutionary computation
- feature set
- fuzzy logic
- np hard
- expert systems
- pattern recognition
- feature extraction
- artificial intelligence
- databases