Jianjun Yao, Zhenshuai Wan, Yu Fu, Tang Sheng, Ming Yang
{"title":"An Artificial Bee Colony Algorithm for Solving Hydraulic Shaking Table Acceleration Harmonic Estimation Problem","authors":"Jianjun Yao, Zhenshuai Wan, Yu Fu, Tang Sheng, Ming Yang","doi":"10.1115/NCAD2018-6105","DOIUrl":null,"url":null,"abstract":"Hydraulic shaking table is an important device to stimulate vibration environment, which has been widely applied to seismic simulation, aerospace and construction engineering. However, the response from the hydraulic shaking table are not considered sinusoid waveform when corresponds to a sinusoidal acceleration excitation due to the presence of harmonic distortion. This work presents an approach based on the artificial bee colony (ABC) algorithm for the harmonic component estimation in a hydraulic shaking table. The results demonstrate that the proposed method can precisely identify the harmonic component and it has great advantage of convergence as well as real-time performance.","PeriodicalId":104108,"journal":{"name":"ASME 2018 Noise Control and Acoustics Division Session presented at INTERNOISE 2018","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASME 2018 Noise Control and Acoustics Division Session presented at INTERNOISE 2018","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/NCAD2018-6105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Hydraulic shaking table is an important device to stimulate vibration environment, which has been widely applied to seismic simulation, aerospace and construction engineering. However, the response from the hydraulic shaking table are not considered sinusoid waveform when corresponds to a sinusoidal acceleration excitation due to the presence of harmonic distortion. This work presents an approach based on the artificial bee colony (ABC) algorithm for the harmonic component estimation in a hydraulic shaking table. The results demonstrate that the proposed method can precisely identify the harmonic component and it has great advantage of convergence as well as real-time performance.