{"title":"基于逻辑回归的轧辊轴性能下降预测方法研究","authors":"Zhou Na, He Yunxuan, Deng Yaohual","doi":"10.1109/ICEMI46757.2019.9101643","DOIUrl":null,"url":null,"abstract":"This paper takes flexible material R2R processing equipment as the research object, aiming at the problem of roll shaft performance degradation during the actual processing, proposes a roll shaft performance degradation prediction method based on logical regression, and evaluates the roll shaft performance status through the established model. The experimental results show that the root mean square value of the processing roll shaft is not more than 0.1 when it is in normal operation, and when the performance index value of the roll shaft is below 0.8, it indicates that the roll shaft is damaged and needs to be maintained in time.","PeriodicalId":419168,"journal":{"name":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on prediction method of roll shaft performance decline based on logical regression\",\"authors\":\"Zhou Na, He Yunxuan, Deng Yaohual\",\"doi\":\"10.1109/ICEMI46757.2019.9101643\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper takes flexible material R2R processing equipment as the research object, aiming at the problem of roll shaft performance degradation during the actual processing, proposes a roll shaft performance degradation prediction method based on logical regression, and evaluates the roll shaft performance status through the established model. The experimental results show that the root mean square value of the processing roll shaft is not more than 0.1 when it is in normal operation, and when the performance index value of the roll shaft is below 0.8, it indicates that the roll shaft is damaged and needs to be maintained in time.\",\"PeriodicalId\":419168,\"journal\":{\"name\":\"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEMI46757.2019.9101643\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMI46757.2019.9101643","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on prediction method of roll shaft performance decline based on logical regression
This paper takes flexible material R2R processing equipment as the research object, aiming at the problem of roll shaft performance degradation during the actual processing, proposes a roll shaft performance degradation prediction method based on logical regression, and evaluates the roll shaft performance status through the established model. The experimental results show that the root mean square value of the processing roll shaft is not more than 0.1 when it is in normal operation, and when the performance index value of the roll shaft is below 0.8, it indicates that the roll shaft is damaged and needs to be maintained in time.