Fault Diagnosis of Wind Turbines Based on a Support Vector Machine Optimized by the Sparrow Search Algorithm.
Wumaier TuerxunXu ChangHongyu GuoZhijie JinHuajian ZhouPublished in: IEEE Access (2021)
Keyphrases
- wind turbine
- fault diagnosis
- search algorithm
- support vector machine
- wind power
- wind speed
- fault detection
- wind farm
- power generation
- neural network
- expert systems
- fault detection and diagnosis
- bp neural network
- power plant
- fuzzy logic
- electronic equipment
- operating conditions
- multiple faults
- rbf neural network
- support vector machine svm
- feature vectors
- support vector
- monitoring and fault diagnosis
- power transformers
- gas turbine
- condition monitoring
- analog circuits
- feature selection
- chemical process
- multi sensor information fusion
- training set
- training data
- machine learning
- support vector regression
- industrial systems
- radial basis function
- kernel function
- fault detection and isolation
- electrical power systems
- tennessee eastman