A fault detector/classifier for closed-ring power generators using machine learning.
Igor M. QuintanilhaVitor R. M. EliasFelipe B. da SilvaPedro A. M. FoniniEduardo A. B. da SilvaSergio L. NettoJosé A. Apolinário Jr.Marcello L. R. de CamposWallace A. MartinsLars E. WoldRune B. AndersenPublished in: Reliab. Eng. Syst. Saf. (2021)
Keyphrases
- machine learning
- support vector machine
- feature selection
- decision trees
- learning algorithm
- fault diagnosis
- learning classifier systems
- classification process
- training data
- power consumption
- fault detection
- pattern recognition
- svm classifier
- knowledge acquisition
- data mining
- classification rate
- text classification
- face detector
- computational intelligence
- feature set
- artificial intelligence
- computer vision
- queueing networks
- inductive learning
- data sets
- multiple classifier systems
- active learning
- classification algorithm
- supervised classification
- ensemble learning
- learning tasks
- machine learning methods
- feature space
- training set
- machine learning algorithms
- training examples
- object detectors
- training samples
- information extraction
- text mining
- linear classifiers
- neyman pearson
- inductive logic programming
- classification method
- class labels
- detection algorithm
- semi supervised learning
- natural language processing
- knowledge representation
- support vector