Title :
Fault diagnosis for a class of linear discrete-time systems based on adaptive algorithm
Author :
Kan, Rui ; Wang, Jian-Liang
Author_Institution :
Sch. of Electr.&Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
In this paper, for a class of discrete-time linear systems, a fault detection and diagnosis (FDD) method based on adaptive estimation is investigated, and its theoretical properties in detecting faults are established rigorously in the following cases: noise-free case, bounded noise case and l2 noise case respectively.
Keywords :
adaptive systems; discrete time systems; fault diagnosis; linear systems; noise; adaptive estimation; bounded noise case; fault detection; fault diagnosis; l2 noise case; linear discrete-time systems; noise-free case; Adaptive algorithm; Adaptive estimation; Control systems; Electrical fault detection; Fault detection; Fault diagnosis; Linear systems; Parameter estimation; Recursive estimation; Robotics and automation; Adaptive estimation; Discrete-time linear system; Fault detection and diagnosis (FDD);
Conference_Titel :
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2286-9
Electronic_ISBN :
978-1-4244-2287-6
DOI :
10.1109/ICARCV.2008.4795666
