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
Book ChapterDOI
Some Directions for Research
TL;DR: This book has developed a set of analytical tools to assist the designer in making rational decisions, and studied a range of techniques for extracting information from measurements which are distorted by random processes of various sorts.
Proceedings ArticleDOI
Failure Detection in P2P-Grid Environments
Wang Huan,Nakazato Hidenori +1 more
TL;DR: A Check pointing-and-Recovery architecture for applications restarting as soon as possible on P2P-Grid systems is proposed and evaluated results show improvement of the performance on the basis of the WP failure detection algorithm.
Proceedings ArticleDOI
A new adaptive Kalman estimator integrated in a fault-tolerant control system
H. Jamouli,Dominique Sauter +1 more
TL;DR: In this paper, a Fault-Tolerant Control System (FTCS) is proposed to detect and isolate sequential jumps in discrete-time stochastic linear systems, where the treatment of another possible jump is obtained by a direct state estimate and covariance incrementation of the Kalman filter.
Journal ArticleDOI
Diffusion approximation for a pseudo-likelihood test process with application to detection of change in a stochastic system
TL;DR: In this article, the authors provide a rigorous mathematical justification for the change detection and model validation procedure proposed by Basseville, Benveniste and Moustakides, and also prove the optmiaiity of this procedure when applied to a model validation problem.
Journal ArticleDOI
A Hierarchical Model-based Fault Diagnosis System for a Peat Power Plant
TL;DR: A hierarchical, model-based fault diagnosis system for technical processes is presented and the symptom detecting modules are written in algorithmic form and the decision-making part is realized in a knowledge-based system module.