Diagnostic reasoning based on means-end models: experiences and future prospects
(2002) In Knowledge-Based Systems 15(1-2). p.103-110- Abstract
- Multilevel flow models (MFM) are graphical models of goals and functions of technical systems. MFM was invented by Morten Lind at the Technical University of Denmark and several new algorithms and implementations have been contributed by the group headed by Jan Eric Larsson at Lund Institute of Technology. MFM has several properties which makes for a relatively easy knowledge engineering task, compared to mathematical models as used in classical control theory and compared to the rule bases used in standard expert systems. In addition, MFM allows for diagnostic algorithms with excellent real-time properties. This paper gives an overview of existing MFM algorithms, and different MFM projects which have been performed, or are currently in... (More)
- Multilevel flow models (MFM) are graphical models of goals and functions of technical systems. MFM was invented by Morten Lind at the Technical University of Denmark and several new algorithms and implementations have been contributed by the group headed by Jan Eric Larsson at Lund Institute of Technology. MFM has several properties which makes for a relatively easy knowledge engineering task, compared to mathematical models as used in classical control theory and compared to the rule bases used in standard expert systems. In addition, MFM allows for diagnostic algorithms with excellent real-time properties. This paper gives an overview of existing MFM algorithms, and different MFM projects which have been performed, or are currently in progress. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/344084
- author
- Larsson, Jan Eric LU
- organization
- publishing date
- 2002
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- diagnostic reasoning, alarm analysis, multilevel flow models, knowledge-based systems, model-based diagnosis, expert systems, fault diagnosis
- in
- Knowledge-Based Systems
- volume
- 15
- issue
- 1-2
- pages
- 103 - 110
- publisher
- Elsevier
- external identifiers
-
- wos:000173487000012
- scopus:0036139111
- ISSN
- 0950-7051
- DOI
- 10.1016/S0950-7051(01)00126-5
- language
- English
- LU publication?
- yes
- id
- 40aaf7cc-535f-4ea6-b2fb-df293d39b83e (old id 344084)
- date added to LUP
- 2016-04-01 12:07:54
- date last changed
- 2022-01-26 23:14:07
@article{40aaf7cc-535f-4ea6-b2fb-df293d39b83e, abstract = {{Multilevel flow models (MFM) are graphical models of goals and functions of technical systems. MFM was invented by Morten Lind at the Technical University of Denmark and several new algorithms and implementations have been contributed by the group headed by Jan Eric Larsson at Lund Institute of Technology. MFM has several properties which makes for a relatively easy knowledge engineering task, compared to mathematical models as used in classical control theory and compared to the rule bases used in standard expert systems. In addition, MFM allows for diagnostic algorithms with excellent real-time properties. This paper gives an overview of existing MFM algorithms, and different MFM projects which have been performed, or are currently in progress.}}, author = {{Larsson, Jan Eric}}, issn = {{0950-7051}}, keywords = {{diagnostic reasoning; alarm analysis; multilevel flow models; knowledge-based systems; model-based diagnosis; expert systems; fault diagnosis}}, language = {{eng}}, number = {{1-2}}, pages = {{103--110}}, publisher = {{Elsevier}}, series = {{Knowledge-Based Systems}}, title = {{Diagnostic reasoning based on means-end models: experiences and future prospects}}, url = {{http://dx.doi.org/10.1016/S0950-7051(01)00126-5}}, doi = {{10.1016/S0950-7051(01)00126-5}}, volume = {{15}}, year = {{2002}}, }