Partial Cross Mapping Based on Sparse Variable Selection for Direct Fault Root Cause Diagnosis for Industrial Processes.
Qingchao JiangJiashi JiangWenjing WangChunjian PanWeimin ZhongPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- fuzzy logic
- variable selection
- industrial processes
- fault detection
- root cause
- fault diagnosis
- high dimensional
- group lasso
- fault detection and isolation
- industrial process
- input variables
- cross validation
- sparsity inducing
- fault detection and diagnosis
- expert systems
- neural network
- dimension reduction
- structured sparsity
- computational intelligence
- model selection
- power plant
- high dimensional data
- artificial intelligence
- risk management
- dimensionality reduction
- support vector
- compressive sensing
- data sets
- decision trees
- management system
- principal component analysis
- quality improvement
- sparse representation
- quality control
- high dimensionality