Fault diagnostics using DUCG incomplex systems

doi:10.16511/j.cnki.qhdxxb.2016.25.012

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Abstract The status of nuclear reactors in commercial nuclear power plants needs to be closely monitored to maintain normal operations. When a failure occurs, rapid and effective fault diagnostics and proper handling of failures is extremely important. This paper applies dynamic uncertain causality graph (DUCG) theory to fault diagnostics of nuclear power plants. The method was applied to a model with 8 typical second and loop faults based on the Ningde Nuclear Power Plant Unit 1 CPR1000 of the China Guangdong Nuclear Power Group (CGNPC) to verify the fault diagnostics and initial progression forecasts. Simulations were used to test each fault 20 times. The method and stimulator tests both showed that DUCG can accurately, quickly and efficiently diagnose faults.

Keywords DUCG complex system fault diagnosis

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TL361

Issue Date: 15 May 2016

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	ZHAO Yue
	DONG Chunling
	ZHANG Qin

Cite this article:

ZHAO Yue,DONG Chunling,ZHANG Qin. Fault diagnostics using DUCG incomplex systems[J]. Journal of Tsinghua University(Science and Technology), 2016, 56(5): 530-537,543.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2016.25.012 OR http://jst.tsinghuajournals.com/EN/Y2016/V56/I5/530

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