Marwa Chaabane, A. Hamida, M. Mansouri, H. Nounou, M. Nounou
{"title":"Improved shewhart chart for damage detection of structural health monitoring systems","authors":"Marwa Chaabane, A. Hamida, M. Mansouri, H. Nounou, M. Nounou","doi":"10.1109/ATSIP.2018.8364484","DOIUrl":null,"url":null,"abstract":"In this paper, our objective is to propose a state estimation-based damage detection method to enhance monitoring of structural health systems. The proposed method, which is called particle filter (PF)-based Shewhart chart, combines the benefits of the state estimation technique with the Shewhart control chart. The main advantages of PF-based Shewhart are twofold: (i) The PF is proposed to estimate the nonlinear states of a structural health monitoring (SHM) systems; (ii) The Shewhart chart is proposed to detect damages in the mean in the SHM systems. The performance of the proposed method is proved through the three degree of freedom spring-mass-dashpot system and the effectiveness of the proposed method in damage detection is showed based on the presented results.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATSIP.2018.8364484","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, our objective is to propose a state estimation-based damage detection method to enhance monitoring of structural health systems. The proposed method, which is called particle filter (PF)-based Shewhart chart, combines the benefits of the state estimation technique with the Shewhart control chart. The main advantages of PF-based Shewhart are twofold: (i) The PF is proposed to estimate the nonlinear states of a structural health monitoring (SHM) systems; (ii) The Shewhart chart is proposed to detect damages in the mean in the SHM systems. The performance of the proposed method is proved through the three degree of freedom spring-mass-dashpot system and the effectiveness of the proposed method in damage detection is showed based on the presented results.