Open Access
A survey of design methods for failure detection in dynamic systems
Alan S. Willsky
- Vol. 76, pp 11347
Reads0
Chats0
TLDR
A number of methods for detecting abrupt changes (such as failures) in stochastic dynamical systems are surveyed in this paper, where tradeoffs in complexity versus performance are discussed, ranging from the design of specific failure-sensitive filters, to the use of statistical tests on filter innovations, and the development of jump process formulations.Abstract:
A number of methods for detecting abrupt changes (such as failures) in stochastic dynamical systems are surveyed. The class of linear systems is concentrated on but the basic concepts, if not the detailed analyses, carry over to other classes of systems. The methods surveyed range from the design of specific failure-sensitive filters, to the use of statistical tests on filter innovations, to the development of jump process formulations. Tradeoffs in complexity versus performance are discussed.read more
Citations
More filters
Journal ArticleDOI
Use of neural networks for sensor failure detection in a control system
TL;DR: The back-propagation technique is shown to be able to discern accurately the supercritical failures from their subcritical counterparts and the online adapted back- Propagation fault detection systems in nonlinear plants is investigated.
Journal ArticleDOI
Stochastic stability analysis for continuous-time fault tolerant control systems
R. Srichander,Bruce K. Walker +1 more
TL;DR: In this article, the stability analysis of active fault tolerant control systems is addressed using stochastic Lyapunov functions and supermartingale theorems, and necessary and sufficient conditions for exponential stability in the mean square and almost-sure asymptotic stability in probability are developed.
Journal ArticleDOI
Detecting Integrity Attacks on SCADA Systems
TL;DR: This paper analyzes the effect of integrity attacks on control systems and provides countermeasure capable of exposing such attacks and applies its findings to an industrial control problem concerning a chemical plant and a simplified model of a power system.
Journal ArticleDOI
Early warning of slight changes in systems
TL;DR: It is shown here that this approach based on the so-called ‘asymptotic local’ approach for change detection is of much wider applicability: model reduction can be enforced, biased identification procedures can be used, and finally one can even get rid of identification and use instead some much simpler Monte-Carlo estimation technique prior to change detection.
Journal ArticleDOI
Robust sensor fault detection and isolation scheme for interconnected smart power systems in presence of RER and EVs using unknown input observer
TL;DR: The robustness of using UIO to detect and isolate sensor faults in power system is proved by several simulation scenarios and the simulation results show that isolation of faulty sensors can be guaranteed by proper selection of the measured variables in the state space model of the studied system.