Sensor fusion as a tool to monitor dynamic dairy processes
(2006) In Journal of Food Engineering 76(2). p.154-162- Abstract
- A system for monitoring milk and fat concentration in a dynamic milk/water system by fusing information from several sensors was investigated. Standard instrumentation for food production was used, the sensors were a conductivity meter, a density meter and an optical instrument used to measure backscattered light. The system was applied to a dynamic mixing situation. Prediction error did not exceed 2% in the milk concentration and 0.1% fat in the total fat concentration. The applicability of the sensor fusion approach in field conditions was demonstrated by mounting the sensors in a dairy plant and monitoring the start-up of a pasteurizer. (c) 2005 Elsevier Ltd. All rights reserved.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/410400
- author
- Henningsson, Marcus LU ; Östergren, Karin LU ; Sundberg, R and Dejmek, Petr LU
- organization
- publishing date
- 2006
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- turbidity, density, conductivity, sensor fusion, multivariate calibration, dairy process, milk
- in
- Journal of Food Engineering
- volume
- 76
- issue
- 2
- pages
- 154 - 162
- publisher
- Elsevier
- external identifiers
-
- wos:000237149900006
- scopus:33645213192
- ISSN
- 0260-8774
- DOI
- 10.1016/j.jfoodeng.2005.05.003
- language
- English
- LU publication?
- yes
- id
- a0936e5a-b38f-4a0d-9b13-834154f292db (old id 410400)
- date added to LUP
- 2016-04-01 16:30:51
- date last changed
- 2023-09-04 20:11:32
@article{a0936e5a-b38f-4a0d-9b13-834154f292db, abstract = {{A system for monitoring milk and fat concentration in a dynamic milk/water system by fusing information from several sensors was investigated. Standard instrumentation for food production was used, the sensors were a conductivity meter, a density meter and an optical instrument used to measure backscattered light. The system was applied to a dynamic mixing situation. Prediction error did not exceed 2% in the milk concentration and 0.1% fat in the total fat concentration. The applicability of the sensor fusion approach in field conditions was demonstrated by mounting the sensors in a dairy plant and monitoring the start-up of a pasteurizer. (c) 2005 Elsevier Ltd. All rights reserved.}}, author = {{Henningsson, Marcus and Östergren, Karin and Sundberg, R and Dejmek, Petr}}, issn = {{0260-8774}}, keywords = {{turbidity; density; conductivity; sensor fusion; multivariate calibration; dairy process; milk}}, language = {{eng}}, number = {{2}}, pages = {{154--162}}, publisher = {{Elsevier}}, series = {{Journal of Food Engineering}}, title = {{Sensor fusion as a tool to monitor dynamic dairy processes}}, url = {{http://dx.doi.org/10.1016/j.jfoodeng.2005.05.003}}, doi = {{10.1016/j.jfoodeng.2005.05.003}}, volume = {{76}}, year = {{2006}}, }