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

XU Jin-liang; ZHANG Da-fa; ZHANG Long-fei

Aug. 2007

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Article Navigation > Nuclear Power Engineering > 2007 > 28(4): 81-84

XU Jin-liang, ZHANG Da-fa, ZHANG Long-fei. Approach for Fault Diagnosis in Nuclear Power Plant Based on Rough Set and Decision Tree Theory[J]. Nuclear Power Engineering, 2007, 28(4): 81-84.

Citation:

XU Jin-liang, ZHANG Da-fa, ZHANG Long-fei. Approach for Fault Diagnosis in Nuclear Power Plant Based on Rough Set and Decision Tree Theory[J]. Nuclear Power Engineering, 2007, 28(4): 81-84.

XU Jin-liang, ZHANG Da-fa, ZHANG Long-fei. Approach for Fault Diagnosis in Nuclear Power Plant Based on Rough Set and Decision Tree Theory[J]. Nuclear Power Engineering, 2007, 28(4): 81-84.

Citation:

XU Jin-liang, ZHANG Da-fa, ZHANG Long-fei. Approach for Fault Diagnosis in Nuclear Power Plant Based on Rough Set and Decision Tree Theory[J]. Nuclear Power Engineering, 2007, 28(4): 81-84.

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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

Received Date: 2006-03-09
Rev Recd Date: 2007-03-27

Available Online: 2025-07-22

Abstract

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