Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. For technical support, please contact us at onlinesupport@ieee.org. We apologize for any inconvenience.
By Topic

A diagnostics framework based on abductive description logic reasoning

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

4 Author(s)
Hubauer, T.M. ; Software, Technol. & Syst., Hamburg Univ. of Technol., Hamburg, Germany ; Grimm, S. ; Lamparter, S. ; Roshchin, M.

This paper presents a flexible approach to automated diagnostics for complex technical systems, built on a firm theoretical and methodological basis. To this end we devise a conceptual logic-based model for diagnostics inspired by ISO standards, and subsequently investigate different mappings of this formal model into the framework of relaxed abduction, a novel non-standard description logic (DL) reasoning task introduced lately. This framework allows for the robust interpretation of potentially incomplete information with respect to imperfect diagnostic models. We investigate the use of both causal and anti-causal models representing the diagnostic knowledge, and evaluate a prototypical application of the approach to steam and gas turbine diagnostics with encouraging results.

Published in:

Industrial Technology (ICIT), 2012 IEEE International Conference on

Date of Conference:

19-21 March 2012