Detecting injector deactivation failure modes in diesel engines using time and order domain approaches

Mitchell Lebold, Scott Pflumm, Jeffrey Banks, Jonathon Bednar, Karl Reichard, Kenneth Fischer, Joseph Stempnik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper documents the investigation of fuel injector fault detection methods for a seven liter diesel engine. This effort was conducted for the Tank Automotive Research Development Engineering Center (TARDEC) Condition Based Maintenance (CBM) team. The task was to develop algorithms capable of real-time detection of injector misfire events. The purpose of this task was to enable TARDEC's Engine Control Management (ECM) research and development efforts to evaluate the technical feasibility of integrating automated on-board condition monitoring algorithms with future ECM monitoring and control operations.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012
EditorsIndranil Roychoudhury, Jose R. Celaya, Abhinav Saxena
PublisherPrognostics and Health Management Society
Pages122-133
Number of pages12
ISBN (Electronic)9781936263059
StatePublished - Jan 1 2012
Event2012 Annual Conference of the Prognostics and Health Management Society, PHM 2012 - Minneapolis, United States
Duration: Sep 23 2012Sep 27 2012

Publication series

NameProceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012

Other

Other2012 Annual Conference of the Prognostics and Health Management Society, PHM 2012
CountryUnited States
CityMinneapolis
Period9/23/129/27/12

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Electrical and Electronic Engineering
  • Health Information Management
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Detecting injector deactivation failure modes in diesel engines using time and order domain approaches'. Together they form a unique fingerprint.

  • Cite this

    Lebold, M., Pflumm, S., Banks, J., Bednar, J., Reichard, K., Fischer, K., & Stempnik, J. (2012). Detecting injector deactivation failure modes in diesel engines using time and order domain approaches. In I. Roychoudhury, J. R. Celaya, & A. Saxena (Eds.), Proceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012 (pp. 122-133). (Proceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012). Prognostics and Health Management Society.