A data-driven approach for fault detection of offshore wind turbines using random forests.
Yulin SiLiyang QianBaijin MaoDahai ZhangPublished in: IECON (2017)
Keyphrases
- random forests
- fault detection
- wind farm
- wind turbine
- fault diagnosis
- power plant
- random forest
- wind power
- industrial processes
- fault identification
- decision trees
- wind speed
- logistic regression
- machine learning algorithms
- ensemble methods
- tennessee eastman
- neural network
- robust fault detection
- power generation
- tree ensembles
- expert systems
- fuel cell
- decision tree ensembles
- fuzzy logic
- randomized trees
- soft computing
- bayesian networks
- knowledge base