Knowledge-based diagnosis of process systems using procedure HAZID information

Werner-Stark, Agnes, Nemeth, Erzsebet and Hangos, Katalin M. (2011). Knowledge-based diagnosis of process systems using procedure HAZID information. In: Knowledge-based and intelligent information and engineering systems : 15th International Conference, KES 2011. 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011, Kaiserslautern, Germany, (385-394). 12 - 14 September 2011. doi:10.1007/978-3-642-23854-3_41


Author Werner-Stark, Agnes
Nemeth, Erzsebet
Hangos, Katalin M.
Title of paper Knowledge-based diagnosis of process systems using procedure HAZID information
Conference name 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011
Conference location Kaiserslautern, Germany
Conference dates 12 - 14 September 2011
Proceedings title Knowledge-based and intelligent information and engineering systems : 15th International Conference, KES 2011   Check publisher's open access policy
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2011
Year available 2011
Sub-type Fully published paper
DOI 10.1007/978-3-642-23854-3_41
ISBN 9783642238536
9783642238543
ISSN 0302-9743
1611-3349
Volume 6883
Issue 3
Start page 385
End page 394
Total pages 10
Collection year 2012
Language eng
Abstract/Summary Earlier investigations show that the results of hazard identification (HAZID) and analysis (e.g. HAZOP or FMEA) can effectively be used for knowledge-based diagnosis of complex process systems in their steady-state operation. In order to extend this approach for transient operating conditions controlled by operating procedures, the notion of nominal input-output event sequences of qualitative signals has been introduced, and the deviations used in the procedure HAZID analysis have been defined therefrom. The diagnosis can then be performed algorithmically by matching the deviation sequences of the observed input-output event sequences and the nominal ones generated by qualitative dynamic models. The concepts and methods are illustrated using a simple case study consisting of a simple tank, controlled by an operating procedure.
Subjects 1700 Computer Science
2614 Theoretical Computer Science
Keyword Discrete events
Hazard identification
Operating procedures
Process systems
Qualitative model
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Collection: School of Chemical Engineering Publications
 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Tue, 25 Mar 2014, 13:04:47 EST by Dr Elizabeth Nemeth on behalf of School of Chemical Engineering