Data Driven Condition Monitoring of Wind Power Plants Using Cluster Analysis.
Peng LiJens EickmeyerOliver NiggemannPublished in: CyberC (2015)
Keyphrases
- cluster analysis
- condition monitoring
- power plant
- data driven
- fault detection
- wind power
- fault diagnosis
- wind speed
- wind turbine
- coal fired
- power generation
- clustering method
- categorical data
- reliability analysis
- clustering algorithm
- acoustic emission
- soft computing
- decision support system
- factor analysis
- data mining
- expert systems
- k means
- cluster validity
- unsupervised learning
- historical data
- data mining techniques
- data analysis
- hierarchical latent class models
- carbon dioxide
- neural network
- fuzzy c means
- collaborative filtering
- fuzzy logic
- decision making
- short term
- data sets
- active learning
- bayesian networks
- information retrieval
- databases