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Titel:

On the usage of acoustic properties combined with an artificial neural network – A new approach of determining presence of dairy fouling

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Wallhäußer, Eva; Hussein, Walid B.; Hussein, Mohamed A.; Hinrichs, Jörg; Becker, Thomas M.
Abstract:
Fouling and cleaning in heat exchangers are severe and costly issues in food processing. In this study, a new pattern recognition method for detecting fouling on stainless steel is presented. It is based on a combination of ultrasonic parameters and a multilayer perceptron feed forward neural network. Chosen acoustic parameters change significantly with fouling compared with tap water as standard. When fouling is present echo energy of echo 2 increases up to 73.84%, characteristic acoustic imped...     »
Stichworte:
Ultrasound Dairy fouling ANN Acoustic parameters Pattern recognition
Zeitschriftentitel:
Journal of Food Engineering
Jahr:
2011
Band / Volume:
103
Heft / Issue:
4
Seitenangaben Beitrag:
449-456
Volltext / DOI:
doi:10.1016/j.jfoodeng.2010.11.015
WWW:
http://www.sciencedirect.com/science/article/pii/S0260877410005522
Print-ISSN:
0260-8774
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