Prediction-based diagnosis and loss prevention using qualitative multi-scale models

E. Németh, R. Lakner, K. Hangos, I. T. Cameron

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A prototype prediction based intelligent diagnostic system that is capable of integrating qualitative and quantitative process models and operation experience in the form of HAZOP result tables is proposed in this paper. The knowledge base of the system is organized in a hierarchical way following the hierarchy levels of the multi-scale model of the process system. This supports the focusing of the fault detection and loss prevention and thus decomposes the otherwise computationally hard problem. The system is illustrated on the example of a commercial fertilizer granulator drum.

Original languageEnglish
Pages (from-to)535-540
Number of pages6
JournalComputer Aided Chemical Engineering
Volume20
Issue numberC
DOIs
Publication statusPublished - 2005

Fingerprint

Loss prevention
Granulators
Fertilizers
Fault detection

Keywords

  • diagnosis
  • HAZOP analysis
  • multi-scale modelling
  • process systems

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Prediction-based diagnosis and loss prevention using qualitative multi-scale models. / Németh, E.; Lakner, R.; Hangos, K.; Cameron, I. T.

In: Computer Aided Chemical Engineering, Vol. 20, No. C, 2005, p. 535-540.

Research output: Contribution to journalArticle

@article{ba67274cc25f4f65a51e439f18ae1c0c,
title = "Prediction-based diagnosis and loss prevention using qualitative multi-scale models",
abstract = "A prototype prediction based intelligent diagnostic system that is capable of integrating qualitative and quantitative process models and operation experience in the form of HAZOP result tables is proposed in this paper. The knowledge base of the system is organized in a hierarchical way following the hierarchy levels of the multi-scale model of the process system. This supports the focusing of the fault detection and loss prevention and thus decomposes the otherwise computationally hard problem. The system is illustrated on the example of a commercial fertilizer granulator drum.",
keywords = "diagnosis, HAZOP analysis, multi-scale modelling, process systems",
author = "E. N{\'e}meth and R. Lakner and K. Hangos and Cameron, {I. T.}",
year = "2005",
doi = "10.1016/S1570-7946(05)80211-1",
language = "English",
volume = "20",
pages = "535--540",
journal = "Computer Aided Chemical Engineering",
issn = "1570-7946",
publisher = "Elsevier",
number = "C",

}

TY - JOUR

T1 - Prediction-based diagnosis and loss prevention using qualitative multi-scale models

AU - Németh, E.

AU - Lakner, R.

AU - Hangos, K.

AU - Cameron, I. T.

PY - 2005

Y1 - 2005

N2 - A prototype prediction based intelligent diagnostic system that is capable of integrating qualitative and quantitative process models and operation experience in the form of HAZOP result tables is proposed in this paper. The knowledge base of the system is organized in a hierarchical way following the hierarchy levels of the multi-scale model of the process system. This supports the focusing of the fault detection and loss prevention and thus decomposes the otherwise computationally hard problem. The system is illustrated on the example of a commercial fertilizer granulator drum.

AB - A prototype prediction based intelligent diagnostic system that is capable of integrating qualitative and quantitative process models and operation experience in the form of HAZOP result tables is proposed in this paper. The knowledge base of the system is organized in a hierarchical way following the hierarchy levels of the multi-scale model of the process system. This supports the focusing of the fault detection and loss prevention and thus decomposes the otherwise computationally hard problem. The system is illustrated on the example of a commercial fertilizer granulator drum.

KW - diagnosis

KW - HAZOP analysis

KW - multi-scale modelling

KW - process systems

UR - http://www.scopus.com/inward/record.url?scp=77957111577&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77957111577&partnerID=8YFLogxK

U2 - 10.1016/S1570-7946(05)80211-1

DO - 10.1016/S1570-7946(05)80211-1

M3 - Article

AN - SCOPUS:77957111577

VL - 20

SP - 535

EP - 540

JO - Computer Aided Chemical Engineering

JF - Computer Aided Chemical Engineering

SN - 1570-7946

IS - C

ER -