文献类型：期刊文献

英文题名：EFFECT OF SENSOR NUMBER AND DISTRIBUTION ON ACCURACY RATE OF WOOD DEFECT DETECTION WITH STRESS WAVE TOMOGRAPHY

作者：Liang, Shanqing[1] Fu, Feng[1]

第一作者：梁善庆

通信作者：Liang, SQ[1]

机构：[1]Chinese Acad Forestry, Res Inst Wood Ind, Beijing 100091, Peoples R China

年份：2014

卷号：59

期号：4

起止页码：521-531

外文期刊名：WOOD RESEARCH

收录：;EI(收录号：20160902018543);Scopus(收录号：2-s2.0-84959061320);WOS:【SCI-EXPANDED(收录号:WOS:000343372600001)】；

基金：The authors are grateful acknowledge financial support from the National Science & Technology Support Program during the Twelfth Five-year Plan Period: Processing Technology Integration and Demonstration of Seldom-used and Low-grade Wood (No.2012BAD24B01).

语种：英文

外文关键词：Stress wave tomography; wood; decay; defect detection

摘要：Tomogram accuracy and error rates from different sensor numbers and distributions in defects detection of Euphrates poplar with stress wave tomography were obtained and discussed in this study. Results showed that the accuracy rate would be improved by increasing the number of sensors. For different testing purposes, ten sensors should be used if the investigators hope to obtain a 60 % accuracy rate. However, for obtaining a more accurate defect shape and size, 12 sensors were required, but 22 or more sensors were required to obtain more than a 90 % accuracy rate and an error rate less than 10 %. Tomograms from random, semicircle and an equal sensor distribution with 12 sensors all can detect decayed and hollow areas in tree stems. However, statistical analysis indicated that the accuracy rate does not have a significant difference at the 0.05 confidence level. The results suggest that an equal sensor distribution should be applied if accurately detecting defect shape and size must be obtained in the field.