This paper presents an algorithm for the detection of single and multiple misfires in internal combustion engines, using only the signal of the knock sensor. Several experiments were conducted on a four-cylinder engine to obtain the necessary signals in the healthy and faulty conditions. The faulty conditions were created by disconnecting the wires of the spark-plugs. The signal of the knock sensor is analyzed and the time-domain signals of different orders of engine vibrations are extracted using a Vold-Kalman filter (VKF). A set of statistical features were then extracted from the time-domain signals of each order. These features are representative of the engine condition. In the next step, the computed features were plotted for different states and are analyzed. Consequently, a criterion for identifying the engine misfire is obtained based on the extracted features. The results show promising misfire detection capability of the proposed system, which can be used for engine misfire detection without mounting additional sensors.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Single and Multiple Misfire Detection in Internal Combustion Engines Using Vold-Kalman Filter Order-Tracking


    Additional title:

    Sae Technical Papers



    Conference:

    SAE 2011 Noise and Vibration Conference and Exhibition ; 2011



    Publication date :

    2011-05-17




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Single and multiple misfire detection in internal combustion engines using Vold-Kalman filter order-tracking

    Abadi,M.K. / Hajnayeb,A. / Hosseingholizadeh,A. et al. | Automotive engineering | 2011


    Single and Multiple Misfire Detection in Internal Combustion Engines Using Vold-Kalman Filter Order-Tracking

    Abadi, M.K.B. / Hajnayeb, A. / Hosseingholizadeh, A. et al. | British Library Conference Proceedings | 2011


    Theoretical Foundations for High Performance Order Tracking with the Vold-Kalman Tracking Filter

    Void, H. / Mains, M. / Blough, J. et al. | British Library Conference Proceedings | 1997


    Theoretical foundations for high performance order tracking with the Vold-Kalman Tracking Filter

    Vold,H. / Mains,M. / Blough,J.R. et al. | Automotive engineering | 1997


    Theoretical Foundations for High Performance Order Tracking with the Vold-Kalman Tracking Filter

    Vold, Håvard / Blough, Jason / Mains, Michael | SAE Technical Papers | 1997