A LS-SVM based Approach for Turbine Engines Prognostics Using Sensor Data.
Yongxiang LiXiaoming ShanWei ZhaoGong WangPublished in: ICIT (2019)
Keyphrases
- sensor data
- ls svm
- least squares support vector machine
- least squares
- sensor networks
- variable selection
- data streams
- support vector machine
- sensor measurements
- fault diagnosis
- generalization ability
- improved algorithm
- cross validation
- raw sensor data
- support vector
- correlation coefficient
- hyperparameters
- rbf neural network
- input variables
- prediction model
- radial basis function
- neural network
- low cost sensors
- bp neural network
- parameter estimation
- artificial neural networks
- svm classifier
- low cost
- machine learning