Open AccessComplexity-based pattern recognition and diagnosis for engineering simulation system of HTR-PM
Author(s) -
Fang Lin Chao,
Junhua Sun,
Lai Yu-Yang
Publication year - 2012
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.61.170515
Subject(s) - robustness (evolution) , computer science , hardware in the loop simulation , computational complexity theory , leakage (economics) , simulation , materials science , algorithm , chemistry , biochemistry , macroeconomics , economics , gene
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.