{"title":"基于GCHM_WBO的非等距GM(1,1)模型及其在腐蚀速率预测中的应用","authors":"Y. Zhi, Dongmei Fu, Hanling Wang","doi":"10.1108/GS-09-2015-0061","DOIUrl":null,"url":null,"abstract":"GM(1,1) model is widely used in the field of corrosion rate prediction. In this paper, we present a new model, which combines the non-equidistant GM(1,1) model with GCHM_WBO (GCHM, Generalized Contra-Harmonic Mean; WBO, Weakening Buffer Operator), to solve the deadlock that a large number of non-equidistant corrosion rate is difficult to establish a reasonable prediction model and to improve prediction accuracy. It contains a morphing parameter, so as to effectively control the intensity of the weakening operator. The present paper proposes an algorithm to calculate morphing parameter based on a given sample. Finally, the model is applied to predict the corrosion rate of the same series of 6 steels at Guangzhou Experimental Station, and relative error of prediction is within 8.89% to predict the corrosion rate of the 15th year.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Non-equidistant GM(1,1) model based on GCHM_WBO and its application to corrosion rate prediction\",\"authors\":\"Y. Zhi, Dongmei Fu, Hanling Wang\",\"doi\":\"10.1108/GS-09-2015-0061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"GM(1,1) model is widely used in the field of corrosion rate prediction. In this paper, we present a new model, which combines the non-equidistant GM(1,1) model with GCHM_WBO (GCHM, Generalized Contra-Harmonic Mean; WBO, Weakening Buffer Operator), to solve the deadlock that a large number of non-equidistant corrosion rate is difficult to establish a reasonable prediction model and to improve prediction accuracy. It contains a morphing parameter, so as to effectively control the intensity of the weakening operator. The present paper proposes an algorithm to calculate morphing parameter based on a given sample. Finally, the model is applied to predict the corrosion rate of the same series of 6 steels at Guangzhou Experimental Station, and relative error of prediction is within 8.89% to predict the corrosion rate of the 15th year.\",\"PeriodicalId\":246110,\"journal\":{\"name\":\"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/GS-09-2015-0061\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/GS-09-2015-0061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-equidistant GM(1,1) model based on GCHM_WBO and its application to corrosion rate prediction
GM(1,1) model is widely used in the field of corrosion rate prediction. In this paper, we present a new model, which combines the non-equidistant GM(1,1) model with GCHM_WBO (GCHM, Generalized Contra-Harmonic Mean; WBO, Weakening Buffer Operator), to solve the deadlock that a large number of non-equidistant corrosion rate is difficult to establish a reasonable prediction model and to improve prediction accuracy. It contains a morphing parameter, so as to effectively control the intensity of the weakening operator. The present paper proposes an algorithm to calculate morphing parameter based on a given sample. Finally, the model is applied to predict the corrosion rate of the same series of 6 steels at Guangzhou Experimental Station, and relative error of prediction is within 8.89% to predict the corrosion rate of the 15th year.