An intelligent algorithm for fuel-flow monitoring based on particle-tracking velocimetry

Ingram, Stephen, Hossain, Alamgir and Dahal, Keshav (2008) An intelligent algorithm for fuel-flow monitoring based on particle-tracking velocimetry. In: Institution of Engineering and Technology Seminar on Target Tracking and Data Fusion : Algorithms and Applications, 15-16 April 2008, Birmingham.

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Artificial neural-networks have been widely applied in various aspects of particle-tracking velocimetry. This paper presents an overview of the different applications and gives an insight into how this technology can be applied to fuel-flow monitoring. The paper presents a method of flow-field estimation based on particle-tracking velocimetry, without the need to solve the correspondence problem. We also present a method of defeating the obscuration problem found in many optical velocimetry schemes.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 9780863419102
Subjects: G400 Computer Science
G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Ay Okpokam
Date Deposited: 09 Dec 2011 12:34
Last Modified: 10 Aug 2015 11:31

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