Zongxian Ma, Shizeng Lu, Rongfeng Zhang, Hongliang Yu, Xiaohong Wang
{"title":"基于一类支持向量机的三率值异常点检测方法","authors":"Zongxian Ma, Shizeng Lu, Rongfeng Zhang, Hongliang Yu, Xiaohong Wang","doi":"10.1109/YAC53711.2021.9486516","DOIUrl":null,"url":null,"abstract":"The three rate value of raw meal is one of the important factors affecting cement quality in production process. The fluctuation range of the three rate value of raw meal has a great influence on the quality of cement clinker. How to identify the outliers of the three rate value has become a key research issue. In this paper, the outlier detection method of three rate value based on One Class SVM (OCSVM) was studied. Firstly, the importance of abnormal value detection of three rate value was introduced. Then, the principle of outlier detection based on OCSVM was described. On this basis, the outlier detection model of three rate value based on OCSVM was introduced. Finally, the proposed method was tested in a cement plant. The test results showed that OCSVM can detect the outliers of the three rate values. This paper provides a method to detect the outliers of the three rate values.","PeriodicalId":107254,"journal":{"name":"2021 36th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Outlier Detection Method of Three Rate Value Based on One Class SVM\",\"authors\":\"Zongxian Ma, Shizeng Lu, Rongfeng Zhang, Hongliang Yu, Xiaohong Wang\",\"doi\":\"10.1109/YAC53711.2021.9486516\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The three rate value of raw meal is one of the important factors affecting cement quality in production process. The fluctuation range of the three rate value of raw meal has a great influence on the quality of cement clinker. How to identify the outliers of the three rate value has become a key research issue. In this paper, the outlier detection method of three rate value based on One Class SVM (OCSVM) was studied. Firstly, the importance of abnormal value detection of three rate value was introduced. Then, the principle of outlier detection based on OCSVM was described. On this basis, the outlier detection model of three rate value based on OCSVM was introduced. Finally, the proposed method was tested in a cement plant. The test results showed that OCSVM can detect the outliers of the three rate values. This paper provides a method to detect the outliers of the three rate values.\",\"PeriodicalId\":107254,\"journal\":{\"name\":\"2021 36th Youth Academic Annual Conference of Chinese Association of Automation (YAC)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 36th Youth Academic Annual Conference of Chinese Association of Automation (YAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YAC53711.2021.9486516\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 36th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YAC53711.2021.9486516","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Outlier Detection Method of Three Rate Value Based on One Class SVM
The three rate value of raw meal is one of the important factors affecting cement quality in production process. The fluctuation range of the three rate value of raw meal has a great influence on the quality of cement clinker. How to identify the outliers of the three rate value has become a key research issue. In this paper, the outlier detection method of three rate value based on One Class SVM (OCSVM) was studied. Firstly, the importance of abnormal value detection of three rate value was introduced. Then, the principle of outlier detection based on OCSVM was described. On this basis, the outlier detection model of three rate value based on OCSVM was introduced. Finally, the proposed method was tested in a cement plant. The test results showed that OCSVM can detect the outliers of the three rate values. This paper provides a method to detect the outliers of the three rate values.