Acoustic monitoring of engine fuel injection based on adaptive filtering techniques

A. Albarbar, F. Gu, A. D. Ball, A. Starr

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

Diesel engines injection process is essential for optimum operation to maintain the design power and torque requirements and to satisfy stricter emissions legislations. In general this process is highly dependent upon the injection pump and fuel injector health. However, extracting such information about the injector condition using needle movements or vibration measurements without affecting its operation is very difficult. It is also very difficult to extract such information using direct air-borne acoustic measurements. In this work adaptive filtering techniques are employed to enhance diesel fuel injector needle impact excitations contained within the air-borne acoustic signals. Those signals are remotely measured by a condenser microphone located 25 cm away from the injector head, band pass filtered and processed in a personal computer using MatLab. Different injection pressures examined were 250, 240, 230, 220 and 210 bars and fuel injector needle opening and closing impacts in each case were thus revealed in the time-frequency domain using the Wigner-Ville distribution (WVD) technique. The energy of 7-15 kHz frequency bands was found to vary according to the injection pressure. The developed enhancement scheme parameters are determined and its consistency in extracting and enhancing signal to noise ratio of injector signatures is examined using simulation and real measured signals; this allows much better condition monitoring information extraction.

Original languageEnglish
Pages (from-to)1132-1141
Number of pages10
JournalApplied Acoustics
Volume71
Issue number12
DOIs
Publication statusPublished - Dec 2010

Fingerprint

fuel injection
injectors
engines
acoustics
needles
injection
diesel fuels
vibration measurement
diesel engines
acoustic measurement
air
condensers
personal computers
closing
microphones
health
torque
signal to noise ratios
signatures
pumps

Cite this

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title = "Acoustic monitoring of engine fuel injection based on adaptive filtering techniques",
abstract = "Diesel engines injection process is essential for optimum operation to maintain the design power and torque requirements and to satisfy stricter emissions legislations. In general this process is highly dependent upon the injection pump and fuel injector health. However, extracting such information about the injector condition using needle movements or vibration measurements without affecting its operation is very difficult. It is also very difficult to extract such information using direct air-borne acoustic measurements. In this work adaptive filtering techniques are employed to enhance diesel fuel injector needle impact excitations contained within the air-borne acoustic signals. Those signals are remotely measured by a condenser microphone located 25 cm away from the injector head, band pass filtered and processed in a personal computer using MatLab. Different injection pressures examined were 250, 240, 230, 220 and 210 bars and fuel injector needle opening and closing impacts in each case were thus revealed in the time-frequency domain using the Wigner-Ville distribution (WVD) technique. The energy of 7-15 kHz frequency bands was found to vary according to the injection pressure. The developed enhancement scheme parameters are determined and its consistency in extracting and enhancing signal to noise ratio of injector signatures is examined using simulation and real measured signals; this allows much better condition monitoring information extraction.",
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Acoustic monitoring of engine fuel injection based on adaptive filtering techniques. / Albarbar, A.; Gu, F.; Ball, A. D.; Starr, A.

In: Applied Acoustics, Vol. 71, No. 12, 12.2010, p. 1132-1141.

Research output: Contribution to journalArticle

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