M. Halstensen, J. Lundberg, Per Ivan Januschas, Hans-Petter Halvorsen
{"title":"基于防冰液粘性特性的在线监测","authors":"M. Halstensen, J. Lundberg, Per Ivan Januschas, Hans-Petter Halvorsen","doi":"10.3384/ecp2017026","DOIUrl":null,"url":null,"abstract":"MSG Production is a company specializing in automated washing, de-icing, anti-icing and inspection of commercial passenger aircrafts. It is critically important that the viscosity of the anti-icing fluid is according to specifications. This study investigates if a combination of acoustic/vibrational measurements on the spraying nozzle of the system and multivariate regression modelling provides reliable viscosity estimates can be used for real time monitoring. The estimated viscosity based on independent test data show promising results for real time monitoring with a root mean square error of prediction of 278 [cP] within the valid range of the model which is 1900-8400 [cP].","PeriodicalId":179867,"journal":{"name":"Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"On-line Monitoring of Viscous Properties of Anti-icing Fluid Based\",\"authors\":\"M. Halstensen, J. Lundberg, Per Ivan Januschas, Hans-Petter Halvorsen\",\"doi\":\"10.3384/ecp2017026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"MSG Production is a company specializing in automated washing, de-icing, anti-icing and inspection of commercial passenger aircrafts. It is critically important that the viscosity of the anti-icing fluid is according to specifications. This study investigates if a combination of acoustic/vibrational measurements on the spraying nozzle of the system and multivariate regression modelling provides reliable viscosity estimates can be used for real time monitoring. The estimated viscosity based on independent test data show promising results for real time monitoring with a root mean square error of prediction of 278 [cP] within the valid range of the model which is 1900-8400 [cP].\",\"PeriodicalId\":179867,\"journal\":{\"name\":\"Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3384/ecp2017026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3384/ecp2017026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On-line Monitoring of Viscous Properties of Anti-icing Fluid Based
MSG Production is a company specializing in automated washing, de-icing, anti-icing and inspection of commercial passenger aircrafts. It is critically important that the viscosity of the anti-icing fluid is according to specifications. This study investigates if a combination of acoustic/vibrational measurements on the spraying nozzle of the system and multivariate regression modelling provides reliable viscosity estimates can be used for real time monitoring. The estimated viscosity based on independent test data show promising results for real time monitoring with a root mean square error of prediction of 278 [cP] within the valid range of the model which is 1900-8400 [cP].