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Jon Tschudi

Seniorforsker

Jon Tschudi

Seniorforsker

Jon Tschudi
Telefon: 930 59 294
Avdeling: Smart Sensor Systems
Kontorsted: Oslo

Publikasjoner og ansvarsområder

Publikasjoner

Publikasjon

Low-cost resonant cavity Raman gas probe for multi-gas detection

https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1187502

Raman based gas sensing can be attractive in several industrial applications, due to its multi-gas sensing capabilities and its ability to detect O2 and N2. In this article, we have built a Raman gas probe, based on low-cost components, which has shown an estimated detection limit of 0.5 % for 30 se...

Publikasjon

Low Cost “Laserless” FTIR Spectrometer with Resolution Better Than 0.5 cm-1

https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1273092

Abstract: We have designed a FTIR instrument where the traditional He-Ne reference laser is replaced by a low-cost linear encoder. We achieve an RMS sampling error of less than 50nm by oversampling both the interferogram and the encoder signal and then resampling the interferogram using a correction...

År 2011
Type Konferansebidrag og faglig presentasjon
Publikasjon

Near-Infrared (NIR) Interactance System for Non-Contact Monitoring of the Temperature Profile of Baked Liver Pâté

https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+909020

This article investigates the possibility of using non-contact interactance as a method for profiling the temperature in a processed meat product (liver pâté) as it comes out of the oven. The application was defined by an industrial partner, Nortura SA, Tønsberg, Norway, where more control of the co...

År 2011
Type Tidsskriftspublikasjon
Publikasjon

On-line determination and control of fat content in batches of beef trimmings by NIR imaging spectroscopy

https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+862385

An NIR imaging scanner was calibrated for on-line determination of the fat content of beef trimmings. A good calibration model was obtained for fat in intact beef (R = 0.98, RMSECV = 3.0%). The developed model could be used on single pixels to get an image of the fat distribution, or on the average ...

Forfattere Wold Jens petter O'Farrell Marion Høy Martin Tschudi Jon
År 2011
Type Tidsskriftspublikasjon
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