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A Consistency-based Robust Diagnosis Approach for Temporal Causal Systems Sherif Abdelwahed Gabor Karsai Gautam Biswas
 

Summary: A Consistency-based Robust Diagnosis Approach for Temporal Causal Systems
Sherif Abdelwahed Gabor Karsai Gautam Biswas
Institute for Software Integrated Systems,
Vanderbilt University, Nashville, TN, 37203
{sherif,gabor,biswas}@isis.vanderbilt.edu
Abstract
In this paper we present a consistency-based ro-
bust diagnosis approach for a class of temporal
causal systems modeled as timed failure propaga-
tion graphs. Timed failure propagation graphs are
causal models that capture the temporal character-
istics of failure propagation in dynamic systems. In
this paper, we define the problem of robust diagno-
sis for this class of systems and introduce an opti-
mal diagnosis algorithm that is robust with respect
to sensor faults. The paper outlines the proof for
the correctness and optimality of the proposed al-
gorithm.
1 Introduction
Diagnostic algorithms detect, isolate, and estimate system

  

Source: Abdelwahed, Sherif - Department of Electrical Engineering and Computer Science, Vanderbilt University

 

Collections: Engineering