Criteria for optimizing kernel methods in fault monitoring process: A survey Llanes Santiago, Orestes Bernal de Lázaro, José M. Silva Neto, Antônio J. Cruz Corona, Carlos Alberto 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. 2024-02-09T07:40:40Z 2024-02-09T07:40:40Z 2022 journal article José M. Bernal-de-Lázaro, Carlos Cruz Corona, Antônio J. Silva-Neto, Orestes Llanes-Santiago, Criteria for optimizing kernel methods in fault monitoring process: A survey, ISA Transactions, Volume 127, 2022, Pages 259-272 https://hdl.handle.net/10481/88761 10.1016/j.isatra.2021.08.040 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Elsevier