Criteria for optimizing kernel methods in fault monitoring process: A survey
José M Bernal-de-Lázaro1, Carlos Cruz-Corona2, Antônio J Silva-Neto3
1Department of Automation and Computing, Universidad Tecnológica de La Habana "José Antonio Echeverría", CUJAE, Cuba.
Abstract:
Nowadays, how to select the kernel function and their parameters for ensuring high-performance indicators in fault diagnosis applications remains as two open research issues. This paper provides a comprehensive literature survey of kernel-preprocessing methods in condition monitoring tasks, with emphasis on the procedures for selecting their parameters. Accordingly, twenty kernel optimization criteria and sixteen kernel functions are analyzed. A kernel evaluation framework is further provided for helping in the selection and adjustment of kernel functions. The proposal is validated via a KPCA-based monitoring scheme and two well-known benchmark processes.
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