Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points.
Diego Garcia-AlvarezAníbal BregónBelarmino PulidoCarlos J. Alonso-GonzálezPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- structural model
- normal operation
- fault diagnosis
- fault detection
- principal component analysis
- measurement model
- partial least squares
- nuclear power plant
- structural models
- face recognition
- structural equation modeling
- causal models
- prior knowledge
- causal relationships
- latent variables
- active databases
- principal components
- database
- linear discriminant analysis
- support vector machine
- probabilistic model
- feature extraction
- database systems
- clustering algorithm
- neural network