NDLI: Intermittent fault detection for discrete- time linear stochastic systems with time delay

Content Provider	IET Digital Library
Author	Zhang, Sen Sheng, Li Gao, Ming Zhou, Donghua
Abstract	This study investigates the problem of intermittent fault (IF) detection for a class of discrete-time linear stochastic systems (LSSs) with time delay. The IF has the characteristics of intermittency, randomness and uncertainty, and the time delay is constant. By using the lifting method and a reduced-order observer, the truncated residual over a sliding-time window is presented for the IF detection of discrete-time LSSs with time delay. Two hypothesis tests are proposed to set the thresholds for detecting the appearing (disappearing) time of IF. Moreover, the magnitude of IF is estimated and the detectability of IF is analysed based on the analysis of statistical characteristics of the truncated residual. The efficacy and practicality of the derived detection scheme are verified via a numerical simulation of the Williams–Otto process.
Starting Page	511
Ending Page	518
Page Count	8
ISSN	17518644
Volume Number	14
e-ISSN	17518652
Issue Number	Issue 3, Feb (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/14/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2019.0385
Journal	IET Control Theory & Applications
Publisher Date	2019-10-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Appearing Time Control System Analysis Delay Disappearing Time Discrete Control System Discrete Time System Discrete-time Linear Stochastic System Discrete-time LSSs Distributed Parameter Control System Fault Tolerant Control Intermittent Fault Detection Lifting Method Linear System Modelling And Identification Numerical Analysis Numerical Method Numerical Simulation Observers Randomness Reduced Order System Reduced-order Observer Simulation Sliding-time Window Statistical Analysis Statistics Stochastic System Synthesis Method Time Delay Time Varying Control System Uncertain System Uncertainty Williams-Otto Process
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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