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小波分析在动态实验数据处理中的应用 被引量:6

Application of Wavelet Analysis Method in Non-Stationary Experiment Data
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摘要 小波分析目前在信号处理领域中正得到广泛的应用.为研究小波分析在动态实验数据处理中的应用,利用MATLAB小波分析工具箱,对工程中的两组动态试验数据进行了处理:分析了动力排水固结法模型实验中孔隙水压力的长消规律和受压试件红外温度变化奇异点与试件的破坏关系问题.分析表明,只要选择了合适的小波函数,将小波分析用于动态数据处理将具有较大的优势,而MATLAB的小波工具箱使得小波分析的应用更加便利.图4,参12. In order to research WAM (wavelet analysis method) application in the non-stationary experiment data, two group non-stationary data in project were analyzed with Wavelet Toolbox of MATLAB. One was analysis of pore hydraulic pressure variation in the dynamic consolidation with pre-compression model experiment, the other was analysis of relationship between the infrared temperature variation and crack creating. The results show that WAM in non-stationary data processing has much advantage when the suitable wavelet function is applied. Wavelet Toolbox of MATLAB makes the application of WAM easier. 4figs., 12refs.
出处 《湖南科技大学学报(自然科学版)》 CAS 北大核心 2007年第1期59-62,共4页 Journal of Hunan University of Science And Technology:Natural Science Edition
基金 国家自然科学基金(50374069) 河南省自然科学基金(0611012700)
关键词 小波分析 动态数据 孔隙水压力张消规律 红外温度变化 WAM non-stationary data pore hydraulic pressure variation infrared temperature variation
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