中国水土保持科学2011，Vol.9Issue(4)：66-71,6.
油松单根抗拉试验数据的降噪分析
De-nosing root tensile test data of Pinus tabulaeformis
摘要
Abstract
The database of single root tensile test is often confused by a series of noise because of test environment, testing machine random error, artificial operation, which greatly influences accurate analytical result. In order to improve analytical precision, the data is needed to be pretreated. The purpose of the study is to eliminate noise of root tensile test data of Pinus tabulaeformis with gauge length 250 mm by wavelet analysis. Several multi-resolution wavelet de-nosing methods are applied, including from 3 to 31 point smoothing method, hard threshold method, fixed threshold method, mini-max threshold method and rigorous sure threshold method. Results show that among various window width of smoothing methods, 9 point smoothing method is proved to have more marked de-noising effect. In addition, the wavelet transform has particular advantage on noise elimination of the database of single root tensile test while reserving the useful information of data, thus improving the quality of test data and analytical accuracy.关键词
单根抗拉/小波变换/降噪/多分辨分析Key words
pull-resistance of single root/ wavelet transform/ de-nosing/ multi-resolution analysis引用本文复制引用
王萍花,陈丽华,王学顺,周朔,冀晓东,赵红华..油松单根抗拉试验数据的降噪分析[J].中国水土保持科学,2011,9(4):66-71,6.基金项目
国家自然科学基金“林木根系基本力学性能研究”(30872067) （30872067）
中国教育部博士基金“林木根系拉伸特性的试验研究”(20090014110002) （20090014110002）
青年科学基金“林木根系与土壤摩擦锚固性能研究”(30901162) （30901162）
