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Fault detection localization and reconstruction in nonlinear system using RKPCA method and RBC
Conference proceeding

Fault detection localization and reconstruction in nonlinear system using RKPCA method and RBC

Ines Jaffel, Radhia Fezai, Okba Taouali, Mohamed Faouzi Harkat, Hassani Messaoud and IEEE
2017 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND DIAGNOSIS (ICCAD), pp.487-492
01/01/2017

Abstract

Automation & Control Systems Engineering Engineering, Electrical & Electronic Science & Technology Technology
In this paper we exploit the use of the proposed RKPCA method ([1], [2], [3]) for sensor fault detection, localisation and reconstruction. To this end, a set of structured residues is generated by using partial RKPCA technique. Also to identify fault, the Reconstruction Based Contribution RBC approach [4] was used. The relevance of the evaluated techniques partial RKPCA and RBC is revealed on Continuous Stirred Tank Reactor (CSTR).

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