Unusual condition monitoring based on support vector machines for hydroelectric power plants.
Takashi OnodaNorihiko ItoHironobu YamasakiPublished in: IEEE Congress on Evolutionary Computation (2008)
Keyphrases
- condition monitoring
- support vector
- learning machines
- large margin classifiers
- electric power
- hydroelectric power plants
- fault detection
- fault diagnosis
- acoustic emission
- power transformers
- support vector machine
- nuclear power plant
- kernel function
- risk management
- anomaly detection
- tool wear
- generalization ability
- power plant
- neural network
- electricity markets
- object oriented
- fuzzy logic
- multiresolution
- expert systems
- decision making
- feature selection
- machine learning