{"title":"Kalman filter robustness for fatigue usage monitoring of flexible frame structures","authors":"Nestor R. Polanco, E. Hernandez","doi":"10.1109/ACC.2016.7526729","DOIUrl":null,"url":null,"abstract":"This paper explores the robustness of the Kalman filter in structural dynamics and fatigue monitoring applications. The study is carried out using simulations and small scale experiments. We investigate robustness to non-parametric errors in the description the unmeasured excitations, measurement noise and structural model.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 American Control Conference (ACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACC.2016.7526729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
This paper explores the robustness of the Kalman filter in structural dynamics and fatigue monitoring applications. The study is carried out using simulations and small scale experiments. We investigate robustness to non-parametric errors in the description the unmeasured excitations, measurement noise and structural model.
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