By Topic

Fault detection and isolation using multiple Takagi-Sugeno fuzzy models

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

3 Author(s)
Ichtev, A. ; Syst. & Control Eng. Lab., Delft Univ. of Technol., Netherlands ; Hellendoorn, J. ; Babuska, R.

In this paper, soft fault detection and isolation (FDI) for nonlinear plants is addressed. A new method has been developed that combines fuzzy Takagi-Sugeno (TS) models, used for residual generation, with quadratic programming for residual evaluation and fault isolation. This method can isolate and identify total and partial failures, both single and multiple. The information from the FDI module can be used for control reconfiguration. One simulation and one real-time example are given to illustrate the functionality of the proposed approach

Published in:

Fuzzy Systems, 2001. The 10th IEEE International Conference on  (Volume:3 )

Date of Conference:

2001