为进一步减少核动力系统发生故障后的误操作,建立灰熵加权优化条件下的关联度模型,并以核动力系统蒸汽发生器典型故障为例,进行核动力系统的故障诊断仿真研究。结果表明,使用改进关联度模型的诊断系统稳定性好,结论准确可靠,能满足实时诊断要求,可以大幅度提高故障隶属度的分辨率。 In order to further reduce the misoperation after the failure of the nuclear power system, the correlation degree model under the gray entropy weighted optimization is established. Taking the typical failure of the nuclear power plant steam generator as an example, the fault diagnosis and simulation research of the nuclear power system is carried out. The results show that the diagnostic system using the improved relevance model has good stability, accurate and reliable conclusions, can meet the real-time diagnostic requirements, and can greatly improve the resolution of fault membership.