基于粗糙决策模型的核电厂故障诊断方法

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Approach for Fault Diagnosis in Nuclear Power Plant Based on Rough Set and Decision Tree Theory

Department of Nuclear Science and Engineering, Naval University of Engineering, Wuhan, 430033, China

摘要: 将粗糙集和信息熵相结合,提出了改进的决策树ID3算法,并提出了基于此算法和粗糙集约简算法的故障诊断方法。将该方法用于核电厂故障诊断。结果表明,该方法具有良好的故障诊断性能,可在核电厂故障诊断领域中应用。
- 核电厂 /
- 故障诊断 /
- 粗糙集 /
- 信息熵 /
- 决策树
Abstract: The new ID3 algorithm of leaning decision tree is proposed by combining the rough set and information entropy.The approach for fault diagnosis is proposed based on the new ID3 algorithm and rough set reduction algorithm,and is applied to the fault diagnosis in the nuclear power plant.The result shows that this approach efficiently differentiates the faults of the nuclear power plant,and can be applied in fault diagnosis domain for marine nuclear power plant.
- Nuclear power plant /
- Fault diagnosis /
- Rough set /
- Information entropy /
- Decision tree