By Topic

Model- and knowledge-based fault detection and diagnosis of gas transmission networks

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
$33 $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)
F. Perschl ; Div. for Autom. Control Eng., Tech. Univ. Munchen, Germany ; G. Schmidt

This paper describes an expert system for online fault detection and diagnosis of gas transmission networks, combining model- and knowledge-based methods. It consists of a set of hierarchically structured components which include signal processing, Luenberger-type state observation, rule-based knowledge processing as well as an advanced user interface. The diagnosis system was tested with real measurement data from a medium sized gas distribution network. Its real-time capability and effectiveness for basic fault detection purposes was demonstrated by industrial applications

Published in:

Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on

Date of Conference:

17-20 Oct 1993