【作者】 朱彬； 雷岳俊；

【Author】 Zhu Bin~1 Lei Yuejun~2 (1 Zhicheng College of Fuzhou University Fuzhou 350002 China; 2 Information Engineering College Central University for Nationalities Beijing 100081 China)

【机构】 福州大学至诚学院； 中央民族大学信息工程学院；

【摘要】 热分析法在铁水成分分析中得到广泛的应用。由于噪声的影响,传统热分析法测量温度曲线的特征值提取困难,导致测量精度不高,甚至失败。本文利用小波分析方法对测量曲线进行消噪平滑处理和特征值提取,实际测量结果表明,该方法有效,极大的提高了测量的精度和成功率。更多还原

【Abstract】 Thermal analysis in measuring molted iron element is widely applied in the material field.It is difficult to detect the signal’s characteristic value in the cooling curve using traditional thermal analysis because of noise The measurement precision is not exact even it lead to the measurement fail.Wavelet analysis de-noising made the cooling curve smooth and wavelet analysis detected arrest points,means signal’s characteristic values, two parts are expatiated in this paper.The measurement results show that the method is in effect;it improved the measurement precision and the probability of the success.更多还原