应用数据检索的木材检测技术统计分类及建模检测方法
|
摘要
以木材无损检测方法的统计分类作为样本,通过检索数据集进行数据挖掘,得到木材检测类文献及关键词关联关系;对采样数据进行了分类对比,实现了应用大数据的有限训练集对输入和输出间有效关联数据提取;对作为样本的检测法进行了木材无损检测法有效性分类分析,对检测法进行改进算法描述,提出了应用灰度变换的支持向量机建模进行木材无损检测纹理分形及逆向扫描建模。
With the statistical classification of wood nondestructive testing method as a sample, we studied the data set for data mining. The sampling data was classified and compared, and the valid classification of the wood non-destructive testing method was analyzed by using the finite training set of large data to extract the data between input and output. The improved algorithm was described, and the modeling of texture fractal and reverse scanning for wood nondestructive testing using support vector machine was proposed.
With the statistical classification of wood nondestructive testing method as a sample, we studied the data set for data mining. The sampling data was classified and compared, and the valid classification of the wood non-destructive testing method was analyzed by using the finite training set of large data to extract the data between input and output. The improved algorithm was described, and the modeling of texture fractal and reverse scanning for wood nondestructive testing using support vector machine was proposed.
引文
[1] 高子震,王正.无损检测技术在木材中的应用与研究现状[J].木工机床,2014(4):5-8.
[2] NIEMZ P,MANNES D.Non-destructive testing of wood and wood-based materials[J].Journal of Cultural Heritage,2012,13(3):26-34.
[3] JASKOWSKA-LEMA.Impact of the direction of non-destructive test with respect to the annual growth rings of pine wood[J].Procedia Engineering,2016,161:925-930.doi.org/10.1016/j.proeng.2016.08.761.
[4] 张富文,许清风,张治宇,等.钻入阻抗法检测木材缺陷[J].无损检测,2016,38(1):6-9,74.
[5] 葛浙东.木材X射线断层扫描图像重建算法构建与系统研发[D].北京:中国林业科学研究院,2016.
[6] 曹正彬,葛浙东,张连滨,等.计算机断层扫描技术在木材科学中应用研究进展[J].世界林业研究,2017,30(5):45-50.
[7] 程玉柱,顾全,王众辉,等.基于深度学习的木材缺陷图像检测方法[J].林业机械与木工设备,2018,46(8):33-36.
[8] 张训亚,姜笑梅,殷亚方.木材声-超声检测技术国内外研究现状[J].木材加工机械,2018,29(4):34-39,43.
[9] 潘建定,鲍文媛,鲍文锋.试析木材检验的有效控制方法[J].农民致富之友,2015(12(下半月)):154.
[10] 欧华坤,宁金忠,甘甜,等.关于二维平面上应力波木材无损检测的研究[J].仪表技术,2017(12):40-42.
[11] 李毅斐.基于PT-Kriging的木材内部缺陷三维成像方法研究[D].杭州:浙江农林大学,2018.
[12] RAPOSO P C,ANDRADE M,CORREIA J A F O.Non-destructive structural wood diagnosis of a medieval building[J].Procedia Structural Integrity,2017,5:1147-1152.doi.org/10.1016/j.prostr.2017.07.024.
[13] 龚鼎盛,陈其松,陈宜,等.基于类圆目标归一化的木材切面轮廓检测方法[J].微型机与应用,2016,35(15):54-56.
[14] 王凤清,徐利龙.木材无损检测技术的应用研究综述[J].黑龙江生态工程职业学院学报,2011,24(4):30-31.
[15] RIGGIO M,SANDAK J,FRANKE S.Application of imaging techniques for detection of defects,damage and decay in timber structures on-site[J].Construction and Building Materials,2015,101(Part 2):1241-1252.doi.org/10.1016/j.conbuildmat.2015.06.065.
[16] OZGENC O,DURMAZ S,SERDAR B,et al.Characterization of fossil Sequoioxylon wood using analytical instrumental techniques[J].Vibrational Spectroscopy,2018,96:10-18.doi.org/10.1016/j.vibspec.2018.02.006.
[17] 郭继龙,南生春,杨全文.木质材料无损检测和评价方法[J].木材加工机械,2012(6):51-55.
[18] 倪松远,王立海,徐华东.基于ANSYS的木塑复合板振动特性分析[J].东北林业大学学报,2011,39(6):49-51.
[19] FAGGIANO B,MARZO A.Amethod for the determination of the timber density through the statistical assessment of ND transverse measurements aimed at in situ mechanical identification of existing timber structures[J].Construction and Building Materials,2015,101(Part 2):1235-1240.doi.org/10.1016/j.conbuildmat.2015.08.088.
[20] 王泽润,方益明,冯海林,等.木材节子缺陷检测与定位方法[J].激光与光电子学进展,2018,55(5):317-324.
[21] 于雷.基于多重分形频谱技术的木材CT检测及其三维结构重建[D].哈尔滨:东北林业大学,2010.
[22] 应鑫蕾.木材无损检测技术研究历史、现状和展望[J].求知导刊,2016(4):51.
[23] 祁娟.木材无损检测的图像分割与三维重建方法研究[D].杭州:浙江农林大学,2014.
[24] 吴佳琛,曹良才,陈海龙,等.彩色三维扫描中纹理重建技术研究进展[J].激光与光电子学进展,2018,55(11):50-64.
[2] NIEMZ P,MANNES D.Non-destructive testing of wood and wood-based materials[J].Journal of Cultural Heritage,2012,13(3):26-34.
[3] JASKOWSKA-LEMA.Impact of the direction of non-destructive test with respect to the annual growth rings of pine wood[J].Procedia Engineering,2016,161:925-930.doi.org/10.1016/j.proeng.2016.08.761.
[4] 张富文,许清风,张治宇,等.钻入阻抗法检测木材缺陷[J].无损检测,2016,38(1):6-9,74.
[5] 葛浙东.木材X射线断层扫描图像重建算法构建与系统研发[D].北京:中国林业科学研究院,2016.
[6] 曹正彬,葛浙东,张连滨,等.计算机断层扫描技术在木材科学中应用研究进展[J].世界林业研究,2017,30(5):45-50.
[7] 程玉柱,顾全,王众辉,等.基于深度学习的木材缺陷图像检测方法[J].林业机械与木工设备,2018,46(8):33-36.
[8] 张训亚,姜笑梅,殷亚方.木材声-超声检测技术国内外研究现状[J].木材加工机械,2018,29(4):34-39,43.
[9] 潘建定,鲍文媛,鲍文锋.试析木材检验的有效控制方法[J].农民致富之友,2015(12(下半月)):154.
[10] 欧华坤,宁金忠,甘甜,等.关于二维平面上应力波木材无损检测的研究[J].仪表技术,2017(12):40-42.
[11] 李毅斐.基于PT-Kriging的木材内部缺陷三维成像方法研究[D].杭州:浙江农林大学,2018.
[12] RAPOSO P C,ANDRADE M,CORREIA J A F O.Non-destructive structural wood diagnosis of a medieval building[J].Procedia Structural Integrity,2017,5:1147-1152.doi.org/10.1016/j.prostr.2017.07.024.
[13] 龚鼎盛,陈其松,陈宜,等.基于类圆目标归一化的木材切面轮廓检测方法[J].微型机与应用,2016,35(15):54-56.
[14] 王凤清,徐利龙.木材无损检测技术的应用研究综述[J].黑龙江生态工程职业学院学报,2011,24(4):30-31.
[15] RIGGIO M,SANDAK J,FRANKE S.Application of imaging techniques for detection of defects,damage and decay in timber structures on-site[J].Construction and Building Materials,2015,101(Part 2):1241-1252.doi.org/10.1016/j.conbuildmat.2015.06.065.
[16] OZGENC O,DURMAZ S,SERDAR B,et al.Characterization of fossil Sequoioxylon wood using analytical instrumental techniques[J].Vibrational Spectroscopy,2018,96:10-18.doi.org/10.1016/j.vibspec.2018.02.006.
[17] 郭继龙,南生春,杨全文.木质材料无损检测和评价方法[J].木材加工机械,2012(6):51-55.
[18] 倪松远,王立海,徐华东.基于ANSYS的木塑复合板振动特性分析[J].东北林业大学学报,2011,39(6):49-51.
[19] FAGGIANO B,MARZO A.Amethod for the determination of the timber density through the statistical assessment of ND transverse measurements aimed at in situ mechanical identification of existing timber structures[J].Construction and Building Materials,2015,101(Part 2):1235-1240.doi.org/10.1016/j.conbuildmat.2015.08.088.
[20] 王泽润,方益明,冯海林,等.木材节子缺陷检测与定位方法[J].激光与光电子学进展,2018,55(5):317-324.
[21] 于雷.基于多重分形频谱技术的木材CT检测及其三维结构重建[D].哈尔滨:东北林业大学,2010.
[22] 应鑫蕾.木材无损检测技术研究历史、现状和展望[J].求知导刊,2016(4):51.
[23] 祁娟.木材无损检测的图像分割与三维重建方法研究[D].杭州:浙江农林大学,2014.
[24] 吴佳琛,曹良才,陈海龙,等.彩色三维扫描中纹理重建技术研究进展[J].激光与光电子学进展,2018,55(11):50-64.