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.
| Original language | English |
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| Publication status | Published - 2008 |
| Event | Institution of Engineering and Technology Seminar on Target Tracking and Data Fusion : Algorithms and Applications - Birmingham Duration: 1 Jan 2008 → … |
Conference
| Conference | Institution of Engineering and Technology Seminar on Target Tracking and Data Fusion : Algorithms and Applications |
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| Period | 1/01/08 → … |