By Topic

Fault diagnosis in a plant using Fisher discriminant analysis

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)
Fuente, M.J. ; Dept. of Syst. Eng. & Control., Valladolid Univ., Valladolid ; Garcia, G. ; Sainz, G.I.

In this paper Fisher's discriminant analysis (FDA) is used for detecting and diagnosing faults in a real plant. FDA provides an optimal lower dimensional representation in terms of discriminating between classes of data, where, in this context of fault diagnosis, each class corresponds to data collected during a specific, known fault. A discriminant function is applied to detect and diagnose faults using both simulated and real data collected from a plant: a two-tank system, showing good results.

Published in:

Control and Automation, 2008 16th Mediterranean Conference on

Date of Conference:

25-27 June 2008