An intelligent online fault diagnostic scheme for nonlinear systems
Hing Tung MOK
Che Wai CHAN
Zaiyue YANG
摘要：An online fault diagnostic scheme for nonlinear systems based on neurofuzzy networks is proposed in this paper.The scheme involves two stages.In the first stage,the nonlinear system is approximated by a neurofuzzy network,which is trained offline from data obtained during the normal operation of the system.In the second stage,residual is generated online from this network and is modelled by another neurofuzzy network trained online.Fuzzy rules are extracted from this network,and are compared with those in the fault database obmined under different faulty operations,from which faults are diagnosed.The performance of the proposed intelligent fault scheme is illustrated using a two.tank water level control system under different faulty conditions.
机标关键词：nonlinear systemsneurofuzzy networksnormal operationfault diagnosticcontrol systemwater level
资助基金：This paper was presented at the 25th Chinese Control Conference and was supported by the HKSAR RGC Grant(HKU 7050/02E)
论文发表日期：2008-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：6( 267-272 )
英文信息