噪声与振动控制2024，Vol.44Issue(2)：50-56,62,8.DOI:10.3969/j.issn.1006-1355.2024.02.009
结合SLMSST和DO提取时变结构瞬时频率
Instantaneous Frequency Identification of Time-varying Structures by Combing Second-order Local Maximum Synchrosqueezing Transform and Dynamic Optimization
摘要
Abstract
In order to improve the accuracy of instantaneous frequency identified by local maximum synchrosqueezing transform,a new algorithm is proposed by combining second order local maximum synchrosqueezing transform(SLMSST)and dynamic optimization(DO).In this method,the second order phase and amplitude are introduced at first to obtain more accurate second order instantaneous frequency positions.Then,the local maximum values of the time-frequency coefficients are searched in the frequency direction and the corresponding positions of the second order frequencies are found.According to these positions,the time-frequency coefficients are reassigned to obtain the instantaneous frequency band by the SLMSST.Finally,the dynamic optimization method is applied to extract the instantaneous frequency curve inside the frequency band.A numerical case and a test on a time-varying cable are investigated to verify the effectiveness of the proposed method.The results demonstrate that the proposed method behaves better than local maximum synchrosqueezing transform.It not only enhances the accuracy of instantaneous frequency identification,but also has better time-frequency energy concentration.关键词
振动与波/时变/局部最大同步挤压变换/时频系数/瞬时频率/动态规划Key words
vibration and wave/time-varying/local maximum synchrosqueezing transform/time frequency coefficient/instantaneous frequency/dynamic optimization分类
信息技术与安全科学引用本文复制引用
李宇祖,刘景良,苏杰龙,吕毓霖..结合SLMSST和DO提取时变结构瞬时频率[J].噪声与振动控制,2024,44(2):50-56,62,8.基金项目
国家自然科学青年基金资助项目(51608122) （51608122）
福建省自然科学基金面上资助项目(2020J01581,2020J01579) （2020J01581,2020J01579）
福建农林大学科技创新专项基金资助项目(CXZX2020112A) （CXZX2020112A）
福建农林大学优秀硕士学位论文资助基金资助项目(113/1122YS01005) （113/1122YS01005）
