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Detection of Misfire in a Six-Cylinder Diesel Engine Using Acoustic Emission Signals

[+] Author Affiliations
Mohammad Jafari, Puneet Verma, Zoran Ristovski, Richard Brown

Queensland University of Technology, Brisbane, Australia

Pietro Borghesani

University of New South Wales, Sydney, Australia

Ashkan Eslaminejad

North Dakota State University, Fargo, ND

Paper No. IMECE2018-86506, pp. V011T01A016; 6 pages
  • ASME 2018 International Mechanical Engineering Congress and Exposition
  • Volume 11: Acoustics, Vibration, and Phononics
  • Pittsburgh, Pennsylvania, USA, November 9–15, 2018
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5216-3
  • Copyright © 2018 by ASME


This study will focus on the detection of misfire using Acoustic emission sensor in a multi-cylinder diesel engine. Detection of misfire is important since this malfunction can cause the engine to stall in a short time. In order to investigate the misfire, an experimental engine was run with and without injection of the fuel in the first cylinder. The acoustic emission signal was acquired synchronously with the crank angle signal, in order to have a reference for the transformation from time to angular domain. The AE signal was then processed using the squared envelope spectrum to highlight angle-periodic modulations in the signal’s power (cyclic bursts). This study will present the effectiveness of this combination of sensor technology and signal processing to detect misfire in a six-cylinder diesel engine connected to a hydraulic dynamometer.

Copyright © 2018 by ASME



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