Derivation of diagnostic models based on formalized process knowledge
File(s)
Author(s)
Arroyo, E
Schulze, D
Christiansen, L
Fay, A
Thornhill, NF
Type
Conference Paper
Abstract
© IFAC.Industrial systems are vulnerable to faults. Early and accurate detection and diagnosis in production systems can minimize down-time, increase the safety of the plant operation, and reduce manufacturing costs. Knowledge- and model-based approaches to automated fault detection and diagnosis have been demonstrated to be suitable for fault cause analysis within a broad range of industrial processes and research case studies. However, the implementation of these methods demands a complex and error-prone development phase, especially due to the extensive efforts required during the derivation of models and their respective validation. In an effort to reduce such modeling complexity, this paper presents a structured causal modeling approach to supporting the derivation of diagnostic models based on formalized process knowledge. The method described herein exploits the Formalized Process Description Guideline VDI/VDE 3682 to establish causal relations among key-process variables, develops an extension of the Signed Digraph model combined with the use of fuzzy set theory to allow more accurate causality descriptions, and proposes a representation of the resulting diagnostic model in CAEX/AutomationML targeting dynamic data access, portability, and seamless information exchange.
Editor(s)
Boje, E
Xia, X
Date Issued
2014-08-29
Citation
Proceedings of the 19th IFAC World Congress, 2014, 2014, pp.3456-3464
ISBN
978-3-902823-62-5
ISSN
1474-6670
Publisher
International Federation of Automatic Control
Start Page
3456
End Page
3464
Journal / Book Title
Proceedings of the 19th IFAC World Congress, 2014
Copyright Statement
Copyright © 2014 IFAC
Description
13.10.14 KB. Copyright permission emailed by author. IFAC permits author to upload copy of their paper on IR. 12.11.14 KB Ok to add to Spiral
Identifier
http://www.ifac-papersonline.net/World_Congress/Proceedings_of_the_19th_IFAC_World_Congress__2014/index.html
Source
19th IFAC World Congress, 2014
Start Date
2014-08-24
Finish Date
2014-08-29
Coverage Spatial
Cape Town