Luming Shang, Jiuwen Cao, Jianzhong Wang, Tianlei Wang
{"title":"Fundamental frequency energy distribution of periodic vibrations and their relation to distance","authors":"Luming Shang, Jiuwen Cao, Jianzhong Wang, Tianlei Wang","doi":"10.1109/ICSP.2016.7877804","DOIUrl":null,"url":null,"abstract":"Surface vibrations have been comprehensively investigated in the past for its extensive applications. In this paper, we study the fundamental frequency estimation and its relationship to the propagation distance for periodic surface vibrations generated by electric devices. A novel peak interval selection method (PISM) is first developed to enhance the estimation accuracy on fundamental frequency. Then, a new Frequency Band Energy Percentage (FBEP) feature is proposed to characterize the energy variations among different frequency bands whose central frequency is a multiple of the fundamental frequency. In addition, the relationship between the energy variation in the FBEP feature and the propagation distance is also analyzed. Experiments on real recorded periodic vibrations generated by two electric hammers with different fundamental frequencies are conducted to show the effectiveness of the proposed algorithm.","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSP.2016.7877804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Surface vibrations have been comprehensively investigated in the past for its extensive applications. In this paper, we study the fundamental frequency estimation and its relationship to the propagation distance for periodic surface vibrations generated by electric devices. A novel peak interval selection method (PISM) is first developed to enhance the estimation accuracy on fundamental frequency. Then, a new Frequency Band Energy Percentage (FBEP) feature is proposed to characterize the energy variations among different frequency bands whose central frequency is a multiple of the fundamental frequency. In addition, the relationship between the energy variation in the FBEP feature and the propagation distance is also analyzed. Experiments on real recorded periodic vibrations generated by two electric hammers with different fundamental frequencies are conducted to show the effectiveness of the proposed algorithm.
由于表面振动的广泛应用,过去已经对其进行了全面的研究。本文研究了由电气装置产生的周期性表面振动的基频估计及其与传播距离的关系。为了提高基频估计的精度,提出了一种新的峰间隔选择方法。然后,提出了一种新的频带能量百分比(Frequency Band Energy Percentage, FBEP)特征来表征中心频率为基频的一倍的不同频带间的能量变化。此外,还分析了FBEP特征的能量变化与传输距离的关系。对两个不同基频的电锤产生的周期振动进行了实验,验证了该算法的有效性。