{"title":"Portable fluorescence sensor for on-line monitoring of lubricant oils","authors":"T. Liang, M. Friedrich, D. Lala, K. Ozanyan","doi":"10.1109/ICSENS.2004.1426086","DOIUrl":null,"url":null,"abstract":"In this paper, we report on a portable, compact and inexpensive fluorescence sensor for monitoring the ageing of retail lubricant oils as a result of the operation in an internal combustion engine. The proposed sensor consists of a UV laser diode, an optical fibre probe for simultaneous excitation and collection of the fluorescence and a USB powered palm-size spectrometer connected to a laptop. The sensor was applied on a set of oil samples, taken from production engines by a leading car manufacturing company, at various mileages. The subtle variations in the spectra, caused by the ageing process of the oil, are resolved using two methods: principle component analysis (PCA) and artificial neural networks (ANN). Their performance is compared with regard to utilization in a portable dedicated system for continuous in-situ monitoring. Because of the \"fingerprinting\" approach, which avoids detailed interpretation, the sensor has a wide range of application areas.","PeriodicalId":20476,"journal":{"name":"Proceedings of IEEE Sensors, 2004.","volume":"9 1","pages":"8-11 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE Sensors, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENS.2004.1426086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In this paper, we report on a portable, compact and inexpensive fluorescence sensor for monitoring the ageing of retail lubricant oils as a result of the operation in an internal combustion engine. The proposed sensor consists of a UV laser diode, an optical fibre probe for simultaneous excitation and collection of the fluorescence and a USB powered palm-size spectrometer connected to a laptop. The sensor was applied on a set of oil samples, taken from production engines by a leading car manufacturing company, at various mileages. The subtle variations in the spectra, caused by the ageing process of the oil, are resolved using two methods: principle component analysis (PCA) and artificial neural networks (ANN). Their performance is compared with regard to utilization in a portable dedicated system for continuous in-situ monitoring. Because of the "fingerprinting" approach, which avoids detailed interpretation, the sensor has a wide range of application areas.