Scalable Wind Turbine Generator Bearing Fault Prediction Using Machine Learning: A Case Study.
Lindy WilliamsCaleb PhillipsShawn ShengAron DobosXiupeng WeiPublished in: ICPHM (2020)
Keyphrases
- machine learning
- wind turbine
- wind speed
- pattern recognition
- machine learning algorithms
- test bed
- data mining
- fault diagnosis
- machine learning methods
- supervised learning
- text classification
- information extraction
- active learning
- case study
- computer vision
- wind power
- learning algorithm
- explanation based learning
- learning tasks
- learning systems
- text mining
- computational intelligence
- real time
- knowledge representation
- decision trees
- genetic programming
- decision support system
- rough sets
- fuzzy logic
- knowledge discovery
- feature selection
- artificial intelligence
- electrical power