摘要
针对核电站中检测跌落零件误报警率高的问题，本文对带通滤波后的跌落零件冲击信号应用了基于统计特征的小波去噪方法，并给出了去噪后的跌落零件报警方法。实验表明，小波去噪有效地抑制了噪声干扰，使得小波消噪后的跌落零件冲击信号与复杂背景噪声信号易于区分，从而利于实现对跌落零件的报警。
In order to improve the alarm accuracy rate in nuclear power station, this paper adopts Wavelet De noising (WD) method based on statistic characteristics and presents a loose parts alarm method. Tests indicate that WD restrains noise disturbance efficiently and makes it easy to distinguish de noised loose parts impact signals from complicate background noise to implement loose parts alarm favorably.
出处
《机械科学与技术》
EI
CSCD
北大核心
1999年第5期792-794,共3页
Mechanical Science and Technology for Aerospace Engineering
