Detection of misfire in a six-cylinder diesel engine using acoustic emission signals

Mohammad Jafari, Pietro Borghesani, Puneet Verma, Ashkan Eslaminejad, Zoran Ristovski, Richard Brown

Research output: Chapter in Book/Conference paperConference paperpeer-review

6 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationAcoustics, Vibration, and Phononics
PublisherASME International
ISBN (Electronic)9780791852163
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018 - Pittsburgh, United States
Duration: 9 Nov 201815 Nov 2018

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume11

Conference

ConferenceASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018
Country/TerritoryUnited States
CityPittsburgh
Period9/11/1815/11/18

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