Intelligent fault diagnosis of turbine blade cracks via multiscale sparse filtering and multi-kernel support vector machine for information fusion.
Xin HuangXiaodong ZhangYiwei XiongFei DaiYingjie ZhangPublished in: Adv. Eng. Informatics (2023)
Keyphrases
- fault diagnosis
- multi kernel
- information fusion
- multi sensor information fusion
- multiscale
- support vector machine
- wind turbine
- multiple kernel learning
- expert systems
- neural network
- fault detection
- data fusion
- input output
- condition monitoring
- fuzzy logic
- fusion algorithm
- soft computing
- intelligent systems
- bp neural network
- kernel methods
- rbf neural network
- dempster shafer evidence theory
- svm classifier
- operating conditions
- support vector
- steam turbine
- multi class
- high dimensional
- image segmentation
- scale space
- feature selection
- wavelet transform
- kernel function
- wavelet coefficients
- sparse representation
- support vector machine svm
- pattern recognition
- machine learning
- support vector regression
- evolutionary computation
- power plant
- fuzzy sets
- computational intelligence
- wind speed
- training set
- feature space
- image processing
- decision making