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.
Full text not available from this repository. (Request a copy)Abstract
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: | 13 Oct 2019 00:24 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/3966 |
Actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
