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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:哈尔滨工业大学
学位:博士
所在单位:机械工程学院
学科:机械电子工程. 精密仪器及机械
电子邮箱:xdwang@dlut.edu.cn
Structural state inspection using dual-tree quaternion wavelet transform
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论文类型:期刊论文
发表时间:2018-02-01
发表刊物:Journal of Vibroengineering
收录刊物:EI
卷号:20
期号:1
页面范围:138-151
ISSN号:13928716
摘要:The dual-tree quaternion wavelet transform (QWT) was used in conjunction with quaternion-based three-channel joint transmissibility (QTJT) for state inspection. Multiple QTJTs from the same structural state were used to construct a state matrix, which was considered as a feature image. Then QWT coefficients of the feature image were calculated. It supported one magnitude and three phases, in particular, the low-frequency magnitude-phase was set as state feature index. Ultimately, the difference of the state feature indexes were utilized as the state indicator. This method reduced the influence on state inspection caused by measurement uncertainty of single testing sample, because it took overall consideration of multiple testing samples and described the similarity from multiple directions. The availability of suggested method was demonstrated by a real experiment, in which the state changing was realized by loosening fasteners and altering the longitudinal force of rail. This method was also compared with method based on Karhunen-Loeve Transform (K-LT) and artificial neural network (ANN). Experimental result indicated that the suggested method was integrated optimal, moreover, the resolution of the longitudinal force of rail was less than 10 MPa which was equivalent to temperature change of 1.75 °C for full-lock rail. © JVE INTERNATIONAL LTD.