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Automatic Modeling of Fault Tree for NuIEEE Transactions on Power Electronics,Clear Power Safety I&C Configuration
School of Energy and Environment, Southeast University, Nanjing, China
School of Energy and Environment, Southeast University, Nanjing, China
Instrumentation and Control Institute, Guangdong Nuclear Power Engineering Corp. Shenzhen, China
Instrumentation and Control Institute, Guangdong Nuclear Power Engineering Corp. Shenzhen, China
School of Energy and Environment, Southeast University, Nanjing, China
- 1 School of Energy and Environment, Southeast University, Nanjing, China
- 2 School of Energy and Environment, Southeast University, Nanjing, China
- 3 Instrumentation and Control Institute, Guangdong Nuclear Power Engineering Corp. Shenzhen, China
- 4 Instrumentation and Control Institute, Guangdong Nuclear Power Engineering Corp. Shenzhen, China
- 5 School of Energy and Environment, Southeast University, Nanjing, China
Energy and Power Engineering·Volume 05 (2013)·Pages 269–273·Published 30 June 2013·DOI10.4236/epe.2013.54B052
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Abstract
The automatic modeling of fault tree for nuclear power safety I&C configuration is designed to meet the requirements of reducing the workload and improving the traceability during the nuclear power safety I&C system reliability assessment work. To complete the fault tree automatic modeling, the Visio Automation software technology is used to analyze the topology of the nuclear power safety I&C system hardware device and software function. The good result in practical implementations shows that the nuclear power safety I&C system fault tree modeling work is successfully simplified.
KeywordsNuclear Power Safety I&C SystemVisio AutomationAutomatic Modeling
- S. Margaret, “Computer-assisted Fault Tree Construction using a Knowledge-based Approach,” IEEE Transaction on Reliability, Vol. 43, No. 1, 2008, pp. 112-120. doi:10.1109/24.285124
- J. Xiang and K. Yanoo, “Automatic Static Fault Tree Analysis from System Models,” Dependable Computing (PRDC), 2010 IEEE 16th Pacific Rim International Symposium on, Tokyo, December 2010, pp. 241-242.
- D. L. Iverson, “Automatic Translation of Digraph to Fault-tree Models,” Reliability and Maintainability Symposium, 1992. Proceedings, Annual, Las Vegas, 21-23 January 1992, pp. 354-362.
- J. Xiang, K. Yanoo, Y. Maeno and K. Tadano, “Autmatic Synthesis of Static Fault Trees from System Models,” Secure Software Integration and Reliability Improvement (SSIRI), 2011 Fifth International Conference on, Jeju Island, 27-29 June 2011, pp. 127-136.
- A. Madni, “The Role of Human Factors in Expert Systems Design and Acceptance,” Human Factors: The Journal of the Human Factors and Ergonomics Society, Vol. 30, No. 4,1988, pp. 395-414.
- Q. Liu, X. J. Liu and X. B. Ma, “Analysis of Logic Graph Based on Visio Automation,” Software Guide, Vol. 8, No. 1, 2009, pp. 13-15.
- B. Han, J. J. Tong and D. Z. Xue,” Fault Tree Computer-Aided Building Expert System,” Nuclear Power Engineering, Vol. 24, No. 1, 2003, pp. 77-79
- H. CH. Shi and Y. Wang, “Expert System for Fault Diagnosis in a Sewage-disposal Factory,” Feedwater and Drainage, Vol. 27, No. 8,2007,pp. 56-60