Quantitative evaluation of human-reliability based on fuzzy-clonal selection

IEEE Transactions on Reliability

Volumn 60, Issue 3, 2011, Pages 517-527

  Wang, Ansi ^a   Luo, Yi ^a   Tu, Guangyu ^a   Liu, Pei ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Clonal selection algorithm; cognitive reliability and error analysis method; common performance conditions; human error probability; human reliability analysis; power system

Indexed keywords

CLONAL SELECTION ALGORITHMS; COGNITIVE RELIABILITY; COMMON PERFORMANCE CONDITIONS; HUMAN ERROR PROBABILITY; HUMAN RELIABILITY ANALYSIS;

ALGORITHMS; ELECTRIC POWER SYSTEM PROTECTION; ERROR ANALYSIS; OPTIMIZATION; POWER TRANSMISSION; RATING; SAFETY ENGINEERING; UNCERTAINTY ANALYSIS;

RELIABILITY ANALYSIS;

EID: 80052415708     PISSN: 00189529     EISSN: None     Source Type: Journal    
DOI: 10.1109/TR.2011.2161031     Document Type: Article

References (25)

1. C. Fong and J. Buzacott, "Improved bounds for system-failure probability", IEEE Transactions on Reliability, vol. R-27, no. 4, pp. 289-293, Oct. 1987.
2. M. Marseguerra, E. Zio, and M. Librizzi, "Quantitative developments in the cognitive reliability and error analysis method (CREAM) for the assessment of human performance", Annals of Nuclear Energy, vol. 33, no. 10, pp. 894-910, May 2006.
3. A. Pasquini, G. Pistolesi, and A. Rizzo, "Reliability analysis of systems based on software and human resource", IEEE Transactions on Reliability, vol. 50, no. 4, pp. 337-345, Dec. 2001.
4. G. and ersson, P. Donalek, and R. Farmer et al., "Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance", IEEE Transaction on Power Systems, vol. 20, no. 4, pp. 1922-1928, Nov. 2005.
5. B. Sanso and F. Soumis, "Communication & transportation network reliability using routing models", IEEE Transactions on Reliability, vol. 40, no. 1, pp. 29-38, Apr. 1991.
6. A. Volkanovski, M. Cepin, and B. Mavko, "Application of the fault tree analysis for assessment of power system reliability", Reliability Engineering and System Safety, vol. 94, no. 6, pp. 1116-1127, Jun. 2009.
7. F. Vanderhaegen, D. Jouglet, and S. Piechowiak, "Human-reliability analysis of cooperative redundancy to support diagnosis", IEEE Transactions on Reliability, vol. 53, no. 4, pp. 458-464, Dec. 2004.
8. C. Lewis and W. Stine, "Hidden dependence in human errors", IEEE Transactions on Reliability, vol. 38, no. 3, pp. 296-300, Aug. 1989.
9. M. Kim, P. Seong, and E. Hollnagel, "A probabilistic approach for determining the control mode in CREAM", Reliability Engineering and System Safety, vol. 91, no. 2, pp. 191-199, Feb. 2006.
10. X. He, Y. Wang, Z. Shen, and X. Huang, "A simplified CREAM prospective quantification process and its application", Reliability Engineering and System Safety, vol. 93, no. 2, pp. 298-306, Feb. 2008.
11. E. Hollnagel, Cognitive Reliability and Error Analysis Method. Oxford: Elsevier Science Ltd, 1998.
12. W. Jung, W. Yoon, and J. Kim, "Structured information analysis for human reliability analysis of emergency tasks in nuclear power plant", Reliability Engineering and System Safety, vol. 71, no. 1, pp. 21-32, Jan. 2001.
13. A. Khalatbari and K. Jenab, "Anesthesiology risk analysis model", International Journal of Engineering, vol. 3, no. 1, pp. 12-20, 2009.
14. A. Khalatbari and K. Jenab, "Human cognitive in X-ray diagnosis", Journal of X-Ray Science and Technology, vol. 16, pp. 203-213, 2008.
15. Y. Ding and A. Lisnianski, "Fuzzy universal generating functions for multi-state system reliability assessment", Fuzzy Sets & Systems, vol. 159, no. 3, pp. 307-324, Feb. 2008.
16. Y. Liu, H. Huang, and G. Levitin, "Reliability and performance assessment for fuzzy multi-state elements", Journal of Risk and Reliability, vol. 222, no. 4, pp. 675-686, 2008.
17. Y. Fujita and E. Hollnagel, "Failures without errors: Quantification of context in HRA", Reliability Engineering and System Safety, vol. 83, no. 2, pp. 145-151, Feb. 2004.
18. M. Konstandinidou, Z. Nivolianitou, C. Kiranoudis, and N. Markatos, "A fuzzy modeling application of CREAM methodology for human reliability analysis", Reliability Engineering and System Safety, vol. 91, no. 6, pp. 706-716, Jun. 2006.
19. Z. Yang, S. Bonsall, and J. Wang, "Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA", IEEE Transactions on Reliability, vol. 57, no. 3, pp. 517-528, Sep. 2008.
20. D. Hidalgo, O. Castillo, and P. Melin, "Type-1 and type-2 fuzzy inference systems as integration methods in modular neural networks for multimodal biometry and its optimization with genetic algorithms", Information Sciences, vol. 179, no. 13, pp. 2123-2145, 2009.
21. J. Timothy, Fuzzy Logic With Engineering Applications. Wiley: The McGraw-Hill Companies, 1995.
22. J. Christopher and H. Lakany, "A fuzzy inference system for fault detection and isolation: Application to a fluid system", Expert Systems with Applications, vol. 35, no. 3, pp. 1021-1033, Oct. 2008.
23. Y. Ding, M. J. Zuo, A. Lisnianski, and Z. Tian, "Fuzzy multi-state systems: General definitions, and performance assessment", IEEE Transactions on Reliability, vol. 57, no. 4, pp. 589-594, Dec. 2008.
24. H. Lou, C. Mao, D. Wang, and J. Lu, "PWM optimization for three level voltage inverter based on clonal selection algorithm", IET Electric Power Applications, vol. 1, no. 6, pp. 870-878, Nov. 2007.
25. F. Campelo, F. G. Guimaraes, H. Igarashi, and J. A. Ramirez, "A clonal selection algorithm for optimization in electromagnetics", IEEE Transactions on Magnetics, vol. 41, no. 5, pp. 1736-1739, May 2005.