Fault detection based on squirrel search algorithm and support vector data description for industrial processes.
Jesús Alejandro Navarro AcostaIrma D. García-CalvilloEdgar O. Reséndiz-FloresPublished in: Soft Comput. (2022)
Keyphrases
- industrial processes
- fault detection
- support vector data description
- search algorithm
- novelty detection
- fault diagnosis
- detection method
- kernel function
- fault detection and isolation
- fault detection and diagnosis
- density estimation
- multiple classifiers
- search space
- target class
- tennessee eastman
- power plant
- outlier detection
- detecting outliers
- fuel cell
- support vectors
- quality improvement
- support vector
- anomaly detection
- decision boundary
- fuzzy logic
- genetic algorithm
- machine learning