摘要
研究了小波变换在松动件检测系统(LPMS)报警中的应用。在分析LPMS中产生误报主要原因的基础上,结合小波时 频域分析特点,提出了基于小波均方值报警理论,并以秦山核电站一号机组为例,选择相对噪声较小的尺度作为报警基准,能有效地抑制背景噪声对报警的影响。该文提出的RMS阈值和RMS时间宽度阈值的双阈值小波报警算法,使得报警更加可靠。
The application of wavelet-transformation to alarming in loose parts monitoring system (LPMS) was studied. On the base of analyzing the main factor to the error-alarming in LPMS, the alarming theory in view of wavelet's root mean square (RMS) was established by choosing minor scale of relative noise as alarming datum point, and the base noise which affected alarm was checked effectively. Moreover RMS threshold and time width RMS threshold wavelet alarming algorithm were adopted, all making the alarm more dependable.
出处
《原子能科学技术》
EI
CAS
CSCD
2004年第5期432-435,共4页
Atomic Energy Science and Technology
关键词
报警
小波变换
双阈值
检测系统
算法
误报
RMS
松动
抑制
影响
Alarm systems
Condition monitoring
Impulse noise
Nuclear reactors
Thermal noise
Wavelet transforms
