Abstract
Multilevel Flow Modelling has been used for modelling complex system such as nuclear power plants. The causal reasoning capability of the MFM models is explained in various literatures by the authors as well as other researchers. MFM is also used to represent control functions in relation with system objectives. This paper clarify the fulfilment of MFM objectives and extend the MFM causal reasoning rules to the control functions and use reasoning rules to generate explanations for understanding control actions. A case study based on a previous developed PWR model is used to illustrate the new reasoning rules. This work contribute to support human operators to understand system automation under abnormal situations
| Original language | English |
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| Title of host publication | 2017 International Symposium on Future Instrumentation and Control for Nuclear Power Plants |
| Number of pages | 8 |
| Publication date | 2017 |
| Publication status | Published - 2017 |
| Event | 2017 International Symposium on Future Instrumentation and Control for Nuclear Power Plants - Gyeongju-si, Korea, Republic of Duration: 26 Nov 2017 → 30 Nov 2017 |
Conference
| Conference | 2017 International Symposium on Future Instrumentation and Control for Nuclear Power Plants |
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| Country/Territory | Korea, Republic of |
| City | Gyeongju-si |
| Period | 26/11/2017 → 30/11/2017 |
Keywords
- Multilevel flow modelling
- Causal reasoning
- Automation awareness