摘要
将小波分析引入到连铸过程漏钢预报系统中,对热电偶所采集的温度数据进行降噪处理。通过对连铸现场采集的温度数据进行多尺度小波分解,并对小波分解系数作相应的阈值处理,最后重建温度信号,去除了温度数据中的噪声。结果表明,经过小波分析降噪后的温度数据能更好地反应测温点的温度变化趋势。
A wavelet-based de-noising method was introduced into the breakout prediction system in the continuous casting process to conduct the noise reduction.Temperature data collected by thermocouples was multi-scale decomposed.The threshold was applied to the wavelet coefficients,the temperature signals were reconstructed and the temperature date were de-noised.The trend of the temperature changing can be well shown by the de-noised data results.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2012年第21期2594-2596,共3页
China Mechanical Engineering
基金
河北省科学技术研究与发展计划资助项目(07212119D)
关键词
漏钢预报
小波分析
信号降噪
数据处理
breakout prediction
wavelet analysis
signal de-noise
data processing
