Diagnosis of process faults and sensor faults in a class of nonlinear uncertain systems  

作　　者：Niharika Sonti 

机构地区：[1]Department of Electrical Engineering,Wright State University

出　　处：《Journal of Systems Engineering and Electronics》2011年第1期22-32,共11页系统工程与电子技术（英文版）

摘　　要：This paper presents a fault diagnosis method for process faults and sensor faults in a class of nonlinear uncertain systems.The fault detection and isolation architecture consists of a fault detection estimator and a bank of adaptive isolation estimators,each corresponding to a particular fault type.Adaptive thresholds for fault detection and isolation are presented.Fault detectability conditions characterizing the class of process faults and sensor faults that are detectable by the presented method are derived.A simulation example of robotic arm is used to illustrate the effectiveness of the fault diagnosis method.This paper presents a fault diagnosis method for process faults and sensor faults in a class of nonlinear uncertain systems.The fault detection and isolation architecture consists of a fault detection estimator and a bank of adaptive isolation estimators,each corresponding to a particular fault type.Adaptive thresholds for fault detection and isolation are presented.Fault detectability conditions characterizing the class of process faults and sensor faults that are detectable by the presented method are derived.A simulation example of robotic arm is used to illustrate the effectiveness of the fault diagnosis method.

关 键 词：fault detection fault isolation fault detectability ROBUSTNESS sensor bias process faults. 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]