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Complexity-based pattern recognition and diagnosis for engineering simulation system of HTR-PM are carried through analyzing 12 state parameters of the nuclear reactor. It is shown that the complexities and robustnesses of HTR-PM simulation system are remarkably discrepant in three different operating modes (normal operation, increased ambient temperature and sudden leakage in primary loop). The effectivenesses of coupling calculations and feedback of multi systems of the HTR-PM simulator are also embodied in system robustness. All these results demonstrate that the method of complexity and robustness can indicate the availability of different parameters for recognizing and diagnosing the operating conditions of the HTR-PM.
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Keywords:
- HTR-PM /
- simulator /
- complexity /
- robustness
[1] Lempel A, Ziv J 1976 IEEE Trans. Inform. Theory 22 75
[2] Marczyk J, Deshpande B 2006 International Conference on Complex Systems Boston, USA, June 25-30, 2006
[3] Barabasi A L, Albert R 2002 Rev. Mod. Phys. 74 47
[4] Jeong H, Mason S P, Barabasi A L, Oltvai Z N 2001Nature 6833 41
[5] Sornette D 2000 Critical phenomena in natural sciences: chaos, fractals, selforganization and disorder (New York: Springer) p178
[6] Seccatore J, Tomi D G, Dompieri M, Rezende A 2011 Braz. J. Min. & Met. 64 525
[7] Aguirre C, Torres L 2000 Inter. J. Bif. & Chaos 10 667
[8] NB/T20015-2010 (中华人民共和国能源行业标准,国家能源局, 2010)
[9] Dong L Y, Zhou Z W 2011 J. Shenyang Inst. Eng. 7 16
[10] Stylios C D, Groumpos P P 2010 Int. J. Intell. Syst. 18 83
[11] Mantegna R N, Stanley H E 2000 An introduction to econophysics: correlations and complexity in finance (New York: Cambridge University) p245
[12] Shannon C E 1948 Bell. Syst. Tech. 27 379
[13] Zadeh L A 1979 Fuzzy sets and information granularity (Amsterdam: North-Holland) p3
[14] Dezso Z, Barabasi A L 2002 Phys. Rev. E 65 055103
[15] Celluci C J, Albano A M Rapp P E 2005 Phys. Rev. E 71 066208
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[1] Lempel A, Ziv J 1976 IEEE Trans. Inform. Theory 22 75
[2] Marczyk J, Deshpande B 2006 International Conference on Complex Systems Boston, USA, June 25-30, 2006
[3] Barabasi A L, Albert R 2002 Rev. Mod. Phys. 74 47
[4] Jeong H, Mason S P, Barabasi A L, Oltvai Z N 2001Nature 6833 41
[5] Sornette D 2000 Critical phenomena in natural sciences: chaos, fractals, selforganization and disorder (New York: Springer) p178
[6] Seccatore J, Tomi D G, Dompieri M, Rezende A 2011 Braz. J. Min. & Met. 64 525
[7] Aguirre C, Torres L 2000 Inter. J. Bif. & Chaos 10 667
[8] NB/T20015-2010 (中华人民共和国能源行业标准,国家能源局, 2010)
[9] Dong L Y, Zhou Z W 2011 J. Shenyang Inst. Eng. 7 16
[10] Stylios C D, Groumpos P P 2010 Int. J. Intell. Syst. 18 83
[11] Mantegna R N, Stanley H E 2000 An introduction to econophysics: correlations and complexity in finance (New York: Cambridge University) p245
[12] Shannon C E 1948 Bell. Syst. Tech. 27 379
[13] Zadeh L A 1979 Fuzzy sets and information granularity (Amsterdam: North-Holland) p3
[14] Dezso Z, Barabasi A L 2002 Phys. Rev. E 65 055103
[15] Celluci C J, Albano A M Rapp P E 2005 Phys. Rev. E 71 066208
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