By Topic

A new methodology to diagnose multiple faults in dynamic hybrid systems considering both continuous and discrete behaviors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Fliss, I. ; SOIE Lab., Univ. of Tunis, Tunis, Tunisia ; Tagina, M.

In this paper, a general multiple faults diagnosis methodology for hybrid dynamic systems is proposed. The considered hybrid systems exhibit both continuous and discrete behaviors without an emphasis of a particular behavior. To diagnose such systems, we rely on bond graph and Petri net modeling. Then, the proposed diagnosis approach deals with the particularity of each system's variables: diagnosing continuous variables using an evaluation of Analytical Redundancy Relations (ARR) and diagnosing discrete ones using a combination of coverability and invariant (T-invariant and P-invariant) notions. The evaluation of residuals (ARR) is based on the combination of adaptive thresholding and fuzzy logic reasoning optimized by Particle Swarm Optimization (PSO). The results of the diagnosis module are finally displayed as a colored causal graph indicating the status of each system variable.

Published in:

Information Technology and e-Services (ICITeS), 2012 International Conference on

Date of Conference:

24-26 March 2012