摘要
文章叙述了钠沸腾噪声探测研究进展,建立了离线和在线均可进行的高频和低频信号采集和处理系统,引进、开展、改进和编制了信号处理、故障诊断、事故报警和自回归模型分析等软件包。应用这些硬软件对水和钠沸腾噪声进行了探测和分析。结果表明,沸腾噪声信号的自功率谱密度(APSD)的幅值明显大于沸腾时的值,用自回归模型判别因子分析,可实现钠沸腾在线实时诊断和监护。
The paper describes the progress of the research work on sodium boiling noisedetection. High frequency and low frequency noise signal analysis system with on-line or off--line signal acquisition and processing were set up. We introduced,developed, improved and designed the signal processing, accident alarming, failurediagnosis and autoregression model analysis computer softwares. Utilizing these hard-ware and software, we detected and analysed the noise signals of sodium andwater boiling. The results show that the amplitude of APSD of noise signals inboiling was obviously larger than that in no boiling. Using distinguishing factor ofautoregression model analysis, we can realise on--line and real--time boiling diagnosisand surveillance.
出处
《原子能科学技术》
EI
CAS
CSCD
北大核心
1991年第5期51-58,共8页
Atomic Energy Science and Technology
关键词
钠沸腾
噪声
频谱分析
快堆
安全
Sodium boiling noise
Frequency spectral analysis
Discrimination factor of autoregression model analysis
