Improving the Diagnostic Performance for Dynamic Systems through the use of Conflict-Driven Model Decomposition

Anibal Bregon, Alexander Feldman, Belarmino Pulido, Gregory Provan, and Carlos Alonso-Gonzalez
Submission Type: 
Full Paper
AttachmentSizeTimestamp
phmc_13_043.pdf1.04 MBSeptember 12, 2013 - 10:44am

This work studies potential ways of integration of two different techniques for fault detection, isolation, and identification in complex dynamic systems: the Lydia NG suite of diagnosis algorithms and the Consistency-based Diagnosis with Possible Conflicts approach. By integrating both techniques, Lydia NG will benefit from a more efficient fault detection and isolation task, and Possible Conflicts will benefit from the identification capabilities of Lydia NG. In this paper, we define a common framework that integrates both techniques, and then we apply the proposed integrated approach to a three-tank system case study, and draw some conclusions about potential ways of integration.

Publication Year: 
2013
Publication Volume: 
4
Publication Control Number: 
043
Page Count: 
13
Submission Keywords: 
Diagnosis and fault isolation methods
Model-based diagnosis
Submission Topic Areas: 
Model-based methods for fault detection, diagnostics, and prognosis
Submitted by: 
  
 
 
 

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