Research of Online Fault Diagnosis for Sensors Important to Safety in Nuclear Power Plants

被引:0
作者
Zhang Liangliang [1 ]
Shi Ji [1 ]
Wang Jijing [1 ]
Chen Huifeng [1 ]
机构
[1] China Nucl Power Engn Co Ltd, State Key Lab Nucl Power Safety Monitoring Techno, Shenzhen 518172, Peoples R China
来源
2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) | 2018年
关键词
nuclear power plants; sensors important to safety; fault diagnosis; hardware redundancy; discrete wavelet transform;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Whether sensors important to safety could work normally is the primary factor that affects the safety function of nuclear power plants. Based on the redundant characteristics of sensors important to safety in nuclear power plants, a fault diagnosis method combining hardware redundancy and discrete wavelet transform is proposed. Finally, in accordance with the design requirements for the DCS of nuclear power plant, combined with the relevant laws and standards, a hardware implementation scheme for the diagnosis device, is given as part of the DCS.
引用
收藏
页码:4715 / 4719
页数:5
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