http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Morten Lind (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
-
FUNCTIONAL MODELLING FOR FAULT DIAGNOSIS AND ITS APPLICATION FOR NPP
Lind, Morten,Zhang, Xinxin Korean Nuclear Society 2014 Nuclear Engineering and Technology Vol.46 No.6
The paper presents functional modelling and its application for diagnosis in nuclear power plants. Functional modelling is defined and its relevance for coping with the complexity of diagnosis in large scale systems like nuclear plants is explained. The diagnosis task is analyzed and it is demonstrated that the levels of abstraction in models for diagnosis must reflect plant knowledge about goals and functions which is represented in functional modelling. Multilevel flow modelling (MFM), which is a method for functional modelling, is introduced briefly and illustrated with a cooling system example. The use of MFM for reasoning about causes and consequences is explained in detail and demonstrated using the reasoning tool, the MFMSuite. MFM applications in nuclear power systems are described by two examples: a PWR; and an FBR reactor. The PWR example show how MFM can be used to model and reason about operating modes. The FBR example illustrates how the modelling development effort can be managed by proper strategies including decomposition and reuse.
-
Functional Modelling for Fault Diagnosis and its Application for NPP
Morten Lind,XINXIN ZHANG 한국원자력학회 2014 Nuclear Engineering and Technology Vol.46 No.6
The paper presents functional modelling and its application for diagnosis in nuclear power plants. Functional modelling is defined and its relevance for coping with the complexity of diagnosis in large scale systems like nuclear plants is explained. The diagnosis task is analyzed and it is demonstrated that the levels of abstraction in models for diagnosis must reflect plant knowledge about goals and functions which is represented in functional modelling. Multilevel flow modelling (MFM), which is a method for functional modelling, is introduced briefly and illustrated with a cooling system example. The use of MFM for reasoning about causes and consequences is explained in detail and demonstrated using the reasoning tool, the MFMSuite. MFM applications in nuclear power systems are described by two examples: a PWR; and an FBR reactor. The PWR example show how MFM can be used to model and reason about operating modes. The FBR example illustrates how the modelling development effort can be managed by proper strategies including decomposition and reuse.
-
A water treatment case study for quantifying model performance with multilevel fl ow modeling
Emil K. Nielsen,Mads V. Bram,Jerome Frutiger,Gürkan Sin,Morten Lind 한국원자력학회 2018 Nuclear Engineering and Technology Vol.50 No.4
Decision support systems are a key focus of research on developing control rooms to aid operators inmaking reliable decisions and reducing incidents caused by human errors. For this purpose, models ofcomplex systems can be developed to diagnose causes or consequences for specific alarms. Modelsapplied in safety systems of complex and safety-critical systems require rigorous and reliable modelbuilding and testing. Multilevel flow modeling is a qualitative and discrete method for diagnosing faultsand has previously only been validated by subjective and qualitative means. To ensure reliability duringoperation, this work aims to synthesize a procedure to measure model performance according todiagnostic requirements. A simple procedure is proposed for validating and evaluating the concept ofmultilevel flow modeling. For this purpose, expert statements, dynamic process simulations, and pilotplant experiments are used for validation of simple multilevel flow modeling models of a hydrocycloneunit for oil removal from produced water.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
