{"title":"Lambda控制图在自相关过程中的性能研究","authors":"Suyi Li, Wenjia Wang","doi":"10.1109/CCSSE.2016.7784367","DOIUrl":null,"url":null,"abstract":"With the development of modern techniques of online data collection, more and more processes are observed to be autocorrelated. Applying traditional Shewhart control chart or even some advanced control charts like CUSUM and EWMA on autoregressive processes will be misleading. The most popular method dealing with autocorrelation is to firstly fit an ARMA model to the processes, and then apply control charts on the residuals. However, their performance is not satisfactory. In this paper, we study the Lambda Control Chart, and explore the characteristics and performance of this scheme.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A study on the performance of Lambda Control Chart for autocorrelated processes\",\"authors\":\"Suyi Li, Wenjia Wang\",\"doi\":\"10.1109/CCSSE.2016.7784367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of modern techniques of online data collection, more and more processes are observed to be autocorrelated. Applying traditional Shewhart control chart or even some advanced control charts like CUSUM and EWMA on autoregressive processes will be misleading. The most popular method dealing with autocorrelation is to firstly fit an ARMA model to the processes, and then apply control charts on the residuals. However, their performance is not satisfactory. In this paper, we study the Lambda Control Chart, and explore the characteristics and performance of this scheme.\",\"PeriodicalId\":136809,\"journal\":{\"name\":\"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCSSE.2016.7784367\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCSSE.2016.7784367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study on the performance of Lambda Control Chart for autocorrelated processes
With the development of modern techniques of online data collection, more and more processes are observed to be autocorrelated. Applying traditional Shewhart control chart or even some advanced control charts like CUSUM and EWMA on autoregressive processes will be misleading. The most popular method dealing with autocorrelation is to firstly fit an ARMA model to the processes, and then apply control charts on the residuals. However, their performance is not satisfactory. In this paper, we study the Lambda Control Chart, and explore the characteristics and performance of this scheme.
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