Abstract
An on-line fault detection and diagnosis system, which has been designed to cope with transient behaviours of the process, is described in this paper. The system consists of a knowledge based approach coupled with a hierarchical structure of fuzzy neural networks. Fault detection is performed through the knowledge based system. The hierarchical structure of fuzzy neural networks performs the fault diagnosis task. The aim of this approach is to diagnose multiple simultaneous faults from only single fault symptoms. A chemical process has been used as a test bed of the current approach.
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.
