中国机械工程2012，Vol.23Issue(21)：2594-2596,3.DOI:10.3969/j.issn.1004-132X.2012.21.016
基于小波分析的漏钢预报温度数据处理
Temperature Data Processing for Breakout Prediction Based on Wavelet Analysis
摘要
Abstract
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.关键词
漏钢预报/小波分析/信号降噪/数据处理Key words
breakout prediction/ wavelet analysis/ signal de -noise/ data processing分类
矿业与冶金引用本文复制引用
张本国,李强,王葛,孙丽凤,张志克..基于小波分析的漏钢预报温度数据处理[J].中国机械工程,2012,23(21):2594-2596,3.基金项目
河北省科学技术研究与发展计划资助项目(07212119D) （07212119D）
