Bernal-de-Lázaro, J. M., Cuz-Corona, C., Silva Neto, A. J. e Llanes-santiago, O, Criteria for Optimizing Kernel Methods in Fault Monitoring Process: A Survey, ISA Transactions, Vol. 127, pp. 259-272, 2022.
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.