Open AccessDetection of intermittent faults for linear stochastic systems subject to time‐varying parametric perturbations
Author(s) -
Yan Rongyi,
He Xiao,
Zhou Donghua
Publication year - 2016
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2015.1086
Subject(s) - control theory (sociology) , parametric statistics , fault detection and isolation , residual , false alarm , probabilistic logic , computer science , observer (physics) , robust control , mathematics , algorithm , control system , artificial intelligence , control (management) , engineering , statistics , physics , quantum mechanics , electrical engineering , actuator
In this study, the robust detection problem of intermittent faults (IFs) for linear stochastic systems subject to time‐varying parametric perturbations is addressed. The authors consider the case that an IF appears and disappears non‐deterministically, and lasts for random periods of active time with unknown magnitudes. A novel robust fault detection method is presented to detect all the appearing time and the disappearing time of an IF. Based on the output of an observer‐type residual generator, a novel robust residual is constructed by utilising a sliding‐time window. Two hypothesis tests are provided to detect all the appearing and the disappearing time, respectively. Moreover, the detectability of the IF by using the proposed robust detection scheme is defined in a probabilistic sense, and a sufficient detectability condition is presented within the given framework. Capacities of false alarm rates and missed detection rates are rigorously analysed. Finally, the application of the presented scheme is illustrated on a simplified radial flight control system and the results show that the IF can be effectively detected in the presence of perturbations and noises.