Dirt and mud detection and diagnosis on a wind turbine blade employing guided waves and supervised learning classifiers.
Alfredo Arcos JiménezCarlos Quiterio Gómez MuñozFausto Pedro García MárquezPublished in: Reliab. Eng. Syst. Saf. (2019)
Keyphrases
- wind turbine
- supervised learning
- fault diagnosis
- wind speed
- training data
- supervised classification
- training set
- class labels
- training samples
- wind power
- training examples
- wind farm
- fault detection
- unsupervised learning
- wind energy
- machine learning algorithms
- power plant
- reinforcement learning
- discriminative classifiers
- labeled data
- object detection
- semi supervised
- input output
- learning tasks
- support vector
- neural network
- semi supervised learning
- decision making
- decision trees
- power generation
- object detectors
- pairwise
- evolutionary algorithm
- management system
- detection method
- decision support system