Robust and sparse canonical correlation analysis for fault detection and diagnosis using training data with outliers.
Lijia LuoWeida WangShiyi BaoXin PengYigong PengPublished in: Expert Syst. Appl. (2024)
Keyphrases
- canonical correlation analysis
- fault detection and diagnosis
- training data
- canonical correlations
- least squares
- fault diagnosis
- partial least squares
- data sets
- training set
- fault detection
- decision trees
- classification accuracy
- equivalence relationship
- kernel cca
- induction motor
- parameter tuning
- supervised learning
- high dimensional
- expert systems
- neural network