• DocumentCode
    1798969
  • Title

    Nostic method based on the analysis of vibration and acoustic emissions for internal combustion engines faults

  • Author

    Grajales Herrera, Jairo Andres ; Lopez Lopez, Juan Fernando ; Quintero Riaza, Hector Fabio

  • Author_Institution
    Mech. Eng. Dept., Univ. Tecnol. de Pereira, Pereira, Colombia
  • fYear
    2014
  • fDate
    17-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a diagnostic methodology for faults and combustion irregularities on internal combustion engines based on mechanical vibrations and acoustic emissions measurements. The purpose is to apply time-frequency techniques, such as envelope analysis and order tracking, to signals from an internal combustion spark ignited engine, to identify different operating conditions (angle advance) and misfiring piston problems. The analysis performed showed that these techniques can differentiate a misfiring piston from a signal measured with an acoustic emissions sensor, but not from the accelerometer, and cannot tell apart the different angle advance with any of the two sensors studied.
  • Keywords
    accelerometers; acoustic signal processing; condition monitoring; fault diagnosis; internal combustion engines; pistons; sensors; time-frequency analysis; vibrations; accelerometer; acoustic emission measurement; acoustic emission sensor; angle advance; combustion irregularities; diagnostic method; envelope analysis; internal combustion engines faults; internal combustion spark ignited engine; mechanical vibrations; misfiring piston problems; order tracking; time-frequency technique; vibration analysis; Accelerometers; Acoustic emission; Combustion; Diesel engines; Pistons; Vibrations; Combustion engine; accelerometer; acoustic emission; envelope; order tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image, Signal Processing and Artificial Vision (STSIVA), 2014 XIX Symposium on
  • Conference_Location
    Armenia
  • Type

    conf

  • DOI
    10.1109/STSIVA.2014.7010178
  • Filename
    7010178