Prism Signal Processing of Coriolis meter data for gasoline fuel injection monitoring

Manus Henry, Feibiao Zhou, Michael Tombs, Felix Leach, Martin Davy, Maruthi Malladi

Research output: Contribution to journalArticle

Abstract

Prism Signal Processing is a new recursive FIR technique offering rapid filter design and calculation. It has previously been applied to Coriolis mass flow metering to generate fast (48 kHz) flow measurement updates, facilitating for the first time the direct mass flow measurement of individual fuel pulses injected into a laboratory diesel fuel injection test bench. In this paper we describe an augmented sensor signal filtering scheme which enables rapid tracking of the desired mode of flow tube vibration while notching out undesired modes. The new scheme is applied to a gasoline injection test bench where the vibrational interference is greater than for the previously described diesel system due to increased hydraulic shock. The paper presents experimental findings which illustrate the further challenges to be overcome in order to achieve the goal of traceable direct mass flow measurement of individual fuel injection pulses. For example, when a fuel pulse is shorter than the resonant period of the flow tube, the observed phase difference appears to show dependence on the instantaneous phase of the flow tube vibration.

Original languageEnglish
Article number101645
JournalFlow Measurement and Instrumentation
Volume70
Early online date3 Oct 2019
DOIs
Publication statusPublished - 1 Dec 2019
Externally publishedYes

Keywords

  • Coriolis mass flow metering
  • Dynamic response
  • Fuel injection monitoring
  • Gasoline engine
  • Internal combustion engine
  • Prism signal processing
  • Recursive FIR filtering

ASJC Scopus subject areas

  • Modelling and Simulation
  • Instrumentation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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