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

Stephen Ingram, Alamgir Hossain, Keshav Dahal

    Research output: Contribution to conferencePaperpeer-review

    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 languageEnglish
    Publication statusPublished - 2008
    EventInstitution of Engineering and Technology Seminar on Target Tracking and Data Fusion : Algorithms and Applications - Birmingham
    Duration: 1 Jan 2008 → …

    Conference

    ConferenceInstitution of Engineering and Technology Seminar on Target Tracking and Data Fusion : Algorithms and Applications
    Period1/01/08 → …

    Fingerprint Dive into the research topics of 'An intelligent algorithm for fuel-flow monitoring based on particle-tracking velocimetry'. Together they form a unique fingerprint.

    Cite this