Abstract
A fault diagnosis method in reactor-regenerator system of Fluidized Catalytic Cracking Unit (FCCU) based on Support Vector Machine (SVM) and Particle Swarm Optimization (PSO) was proposed. The algorithm was implemented for optimization selection for parameter of SVM classifier utilizing global searching property of PSO. A fault diagnosis model in reactor-regenerator System of FCCU based on SVM algorithm was constructed. The results show this fault diagnosis method can achieve high diagnostic accuracy, and this method is practical.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
