Enhanced reasoning with multilevel flow modeling based on time-to-detect and time-to-effect concepts
To easily understand and systematically express the behaviors of the industrial systems, various system modeling techniques have been developed. Particularly, the importance of system modeling has been greatly emphasized in recent years since modern industrial systems have become larger and more com...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-05-01
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| Series: | Nuclear Engineering and Technology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573318300792 |
| _version_ | 1819058409383657472 |
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| author | Seung Geun Kim Poong Hyun Seong |
| author_facet | Seung Geun Kim Poong Hyun Seong |
| author_sort | Seung Geun Kim |
| collection | DOAJ |
| description | To easily understand and systematically express the behaviors of the industrial systems, various system modeling techniques have been developed. Particularly, the importance of system modeling has been greatly emphasized in recent years since modern industrial systems have become larger and more complex.Multilevel flow modeling (MFM) is one of the qualitative modeling techniques, applied for the representation and reasoning of target system characteristics and phenomena. MFM can be applied to industrial systems without additional domain-specific assumptions or detailed knowledge, and qualitative reasoning regarding event causes and consequences can be conducted with high speed and fidelity.However, current MFM techniques have a limitation, i.e., the dynamic features of a target system are not considered because time-related concepts are not involved. The applicability of MFM has been restricted since time-related information is essential for the modeling of dynamic systems. Specifically, the results from the reasoning processes include relatively less information because they did not utilize time-related data.In this article, the concepts of time-to-detect and time-to-effect were adopted from the system failure model to incorporate time-related issues into MFM, and a methodology for enhancing MFM-based reasoning with time-series data was suggested. Keywords: Multilevel Flow Modeling, Time-series Data, Time-to-Detect, Time-to-Effect |
| first_indexed | 2024-12-21T13:54:45Z |
| format | Article |
| id | doaj.art-c36931a8508340a1a6cea8cdfe3399cf |
| institution | Directory Open Access Journal |
| issn | 1738-5733 |
| language | English |
| last_indexed | 2024-12-21T13:54:45Z |
| publishDate | 2018-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Nuclear Engineering and Technology |
| spelling | doaj.art-c36931a8508340a1a6cea8cdfe3399cf2022-12-21T19:01:36ZengElsevierNuclear Engineering and Technology1738-57332018-05-01504553561Enhanced reasoning with multilevel flow modeling based on time-to-detect and time-to-effect conceptsSeung Geun Kim0Poong Hyun Seong1Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Daehak-ro 291, Yuseong-gu, Daejeon 34141, Republic of KoreaCorresponding author.; Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Daehak-ro 291, Yuseong-gu, Daejeon 34141, Republic of KoreaTo easily understand and systematically express the behaviors of the industrial systems, various system modeling techniques have been developed. Particularly, the importance of system modeling has been greatly emphasized in recent years since modern industrial systems have become larger and more complex.Multilevel flow modeling (MFM) is one of the qualitative modeling techniques, applied for the representation and reasoning of target system characteristics and phenomena. MFM can be applied to industrial systems without additional domain-specific assumptions or detailed knowledge, and qualitative reasoning regarding event causes and consequences can be conducted with high speed and fidelity.However, current MFM techniques have a limitation, i.e., the dynamic features of a target system are not considered because time-related concepts are not involved. The applicability of MFM has been restricted since time-related information is essential for the modeling of dynamic systems. Specifically, the results from the reasoning processes include relatively less information because they did not utilize time-related data.In this article, the concepts of time-to-detect and time-to-effect were adopted from the system failure model to incorporate time-related issues into MFM, and a methodology for enhancing MFM-based reasoning with time-series data was suggested. Keywords: Multilevel Flow Modeling, Time-series Data, Time-to-Detect, Time-to-Effecthttp://www.sciencedirect.com/science/article/pii/S1738573318300792 |
| spellingShingle | Seung Geun Kim Poong Hyun Seong Enhanced reasoning with multilevel flow modeling based on time-to-detect and time-to-effect concepts Nuclear Engineering and Technology |
| title | Enhanced reasoning with multilevel flow modeling based on time-to-detect and time-to-effect concepts |
| title_full | Enhanced reasoning with multilevel flow modeling based on time-to-detect and time-to-effect concepts |
| title_fullStr | Enhanced reasoning with multilevel flow modeling based on time-to-detect and time-to-effect concepts |
| title_full_unstemmed | Enhanced reasoning with multilevel flow modeling based on time-to-detect and time-to-effect concepts |
| title_short | Enhanced reasoning with multilevel flow modeling based on time-to-detect and time-to-effect concepts |
| title_sort | enhanced reasoning with multilevel flow modeling based on time to detect and time to effect concepts |
| url | http://www.sciencedirect.com/science/article/pii/S1738573318300792 |
| work_keys_str_mv | AT seunggeunkim enhancedreasoningwithmultilevelflowmodelingbasedontimetodetectandtimetoeffectconcepts AT poonghyunseong enhancedreasoningwithmultilevelflowmodelingbasedontimetodetectandtimetoeffectconcepts |