A signed directed graph-based systematic framework for steady-state malfunction diagnosis inside control loops
TL;DR: In this paper, a unified SDG model for control loops is discussed, in which both disturbances (sensor bias, etc.) as well as structural faults can be easily modeled under steady-state conditions.
About: This article is published in Chemical Engineering Science.The article was published on 2006-03-01. It has received 83 citations till now. The article focuses on the topics: Control theory & Fault (power engineering).
Citations
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TL;DR: In this article, robust sensor fault detection observer (SFDO) design for uncertain and disturbed discrete-time Takagi-Sugeno (T-S) systems using H−−−√H √H√√ H√ √ H √∆∆H∞∆criterion is proposed.
Abstract: SUMMARY
This work concerns robust sensor fault detection observer (SFDO) design for uncertain and disturbed discrete-time Takagi–Sugeno (T–S) systems using H − ∕ H ∞ criterion. The principle of the proposed approach is based on simultaneously minimizing the perturbation effect and maximizing the fault effect on the residual vector. Furthermore, by introducing slack decision matrices and taking advantage of the descriptor formulation, less conservative sufficient conditions are proposed leading to easier linear matrix inequalities (LMIs). Moreover, the proposed (SFDO) design conditions allow dealing with unmeasurable premise variables. Finally, a numerical example and a truck–trailer system model are proposed to illustrate the efficiency of the SFDO design methodology. Copyright © 2013 John Wiley & Sons, Ltd.
131 citations
TL;DR: The causal and structural properties of the bond graph model are used not only for system dynamics simulation but also to design Fault Detection and Isolation algorithms for online supervision of faults affecting sensors, actuators, physico-chemical components and phenomena.
70 citations
Cites background or methods from "A signed directed graph-based syste..."
...As stated in Maurya et al. (2006), there are two different ways to deduce the fault candidates: (i) Backward searching that originates from a non-zero qualitative value of a measured node to obtain the possible qualitative value of the antecedent nodes; if any predicted node value is also measured,…...
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...More recently, Maurya et al. (2006) has presented an algorithm to perform diagnosis of a unified SDG model for control loops....
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...An SCC in a SDG is a subset of nodes in which there is a direct path from each node in the subset to any other node in the same subset (Maurya et al., 2006)....
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TL;DR: A state of the art on the recent studies concerning the fault diagnosis method is presented and a signal-based diagnostic method is suggested and a brief experimental study of the impact of anode flooding is given.
59 citations
TL;DR: An overview of graphical methods used for robust Fault Detection and Isolation (FDI) that can be employed for monitorability and diagnosability analysis and/or online diagnosis of dynamic systems is presented.
48 citations
TL;DR: A new method that combines SDG with qualitative trend analysis (QTA) is presented to improve the resolution of SDG based fault diagnosis and shows its good applicability and efficiency.
46 citations
References
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TL;DR: The value of depth-first search or “backtracking” as a technique for solving problems is illustrated by two examples of an improved version of an algorithm for finding the strongly connected components of a directed graph.
Abstract: The value of depth-first search or “backtracking” as a technique for solving problems is illustrated by two examples. An improved version of an algorithm for finding the strongly connected componen...
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TL;DR: This three part series of papers is to provide a systematic and comparative study of various diagnostic methods from different perspectives and broadly classify fault diagnosis methods into three general categories and review them in three parts.
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TL;DR: This final part discusses fault diagnosis methods that are based on historic process knowledge that need to be addressed for the successful design and implementation of practical intelligent supervisory control systems for the process industries.
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TL;DR: This part of the paper reviews qualitative model representations and search strategies used in fault diagnostic systems and broadly classify them as topographic and symptomatic search techniques.
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TL;DR: A large number of problems in AI and other areas of computer science can be viewed as special cases of the constraint-satisfaction problem, and a number of different approaches have been developed for solving them.
Abstract: A large number of problems in AI and other areas of computer science can be viewed as special cases of the constraint-satisfaction problem. Some examples are machine vision, belief maintenance, scheduling, temporal reasoning, graph problems, floor plan design, the planning of genetic experiments, and the satisfiability problem. A number of different approaches have been developed for solving these problems. Some of them use constraint propagation to simplify the original problem. Others use backtracking to directly search for possible solutions. Some are a combination of these two techniques. This article overviews many of these approaches in a tutorial fashion.
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