Kristian Kasten, Caroline Charlotte Zhu, Joachim Birk, Steven X. Ding
{"title":"An integral monitoring concept for data-driven detection and localization of incipient leakages by fusion of process and environment data","authors":"Kristian Kasten, Caroline Charlotte Zhu, Joachim Birk, Steven X. Ding","doi":"10.1002/amp2.10133","DOIUrl":null,"url":null,"abstract":"<p>The risk of leakages in process industry is environmentally critical and potentially hazardous. Many technologies and schemes for process monitoring are theoretically developed and applied in an industrial context. Nevertheless, most approaches still focus on individual monitoring of a process and its environment. The major challenge is the lack of <i>a priori</i> knowledge about the leakage. This paper introduces a new approach combining monitoring of the environment and its embedded process. The application on an industrial use-case in a real plant environment illustrates the success of this combined monitoring approach as well as a decision support to localize an incipient leakage.</p>","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/amp2.10133","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of advanced manufacturing and processing","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/amp2.10133","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
The risk of leakages in process industry is environmentally critical and potentially hazardous. Many technologies and schemes for process monitoring are theoretically developed and applied in an industrial context. Nevertheless, most approaches still focus on individual monitoring of a process and its environment. The major challenge is the lack of a priori knowledge about the leakage. This paper introduces a new approach combining monitoring of the environment and its embedded process. The application on an industrial use-case in a real plant environment illustrates the success of this combined monitoring approach as well as a decision support to localize an incipient leakage.