改进灰色关联度模型在蒸汽发生器故障分析中的应用

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Application of Improved Degree of Grey Incidence Analysis Model in Fault Diagnosis of Steam Generator

1. Nuclear Science and Engineering Department, Naval University of Engineering, Wuhan, 430033, China;
2. Naval Medical Research Institute, Shanghai, 200433, China

摘要: 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。
- 核动力系统 /
- 加权灰色关联度 /
- 蒸汽发生器 /
- 故障诊断
Abstract: In order to further reduce the misoperation after the faults occurring of nuclear-powered system in marine, the model based on weighted degree of grey incidence of optimized entropy and fault diagnosis system are proposed, and some simulation experiments about the typical faults of steam generator of nuclear-powered system in marine are conducted. And the results show that the diagnosis system based on improved degree of grey incidence model is more stable and its conclusion is right and can satisfy diagnosis in real time, and higher faults subjection degrees resolving power can be achieved.
- Nuclear-powered system /
- Weighted degree of grey incidence /
- Steam generator /
- Fault diagnosis