Haodong Chen, Qing He, Guan Guan, Xian Wu, T. Xu, Yanghong Zhang, Haibin Wang
{"title":"A data processing method for chemical industry based on sensor data and process monitoring","authors":"Haodong Chen, Qing He, Guan Guan, Xian Wu, T. Xu, Yanghong Zhang, Haibin Wang","doi":"10.1109/ICINFA.2016.7831922","DOIUrl":null,"url":null,"abstract":"In order to recognizing the feature of abnormality in advance and fix the possible dirty data simultaneously, this article proposed a method to construct a proper mode for a production process producing specific product, a method to estimate the stability of a linear process and a group of data cleaning rule. Both the data processing procedure and algorithm are given detailedly with some samples and mathematical derivation in this article.","PeriodicalId":389619,"journal":{"name":"2016 IEEE International Conference on Information and Automation (ICIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Information and Automation (ICIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2016.7831922","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In order to recognizing the feature of abnormality in advance and fix the possible dirty data simultaneously, this article proposed a method to construct a proper mode for a production process producing specific product, a method to estimate the stability of a linear process and a group of data cleaning rule. Both the data processing procedure and algorithm are given detailedly with some samples and mathematical derivation in this article.