This paper presents the real time implementation of detection filters for the diagnosis of incipient failures in electronically controlled internal combustion (IC) engines. The detection filters are implemented in a production vehicle.Recent results [1] have demonstrated the feasibility of a model-based failure detection and isolation (FDI) methodology for detecting partially failed components in electronically controlled vehicle subsystems. The present paper describes the real time application of the FDI concept to the detection of faults in sensors associated with the engine/controllerIn a detection filter, the performance of the engine/controller system is continuously compared to a prediction based on sensor measurements and an analytical model (typically a control model) of the system. Any discrepancy between actual and predicted performance is analyzed to identify the unique failure signatures related to specific system components.The FDI methodology described in this paper is applicable to any electronically controlled subsystem; the real time implementation suggests its potential for increasing overall system reliability.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Real Time Detection Filters for Onboard Diagnosis of Incipient Failures


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE International Congress and Exposition ; 1989



    Publication date :

    1989-02-01




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Real time detection filters for onboard diagnosis of incipient failures

    Rizzoni,G. / Hampo,R. / Liubakka,M. et al. | Automotive engineering | 1989


    Real time detection filters for the onboard diagnostics of incipient failures

    Rizzoni,G. / Min,P.S. / Michigan State Univ.,US et al. | Automotive engineering | 1989



    Real Time Non-Onboard Diagnostics of Aircraft Failures

    BOLLING RANDY E / MCGILL CHRISTOPHER SCOTT / CARON GERARD JOHN et al. | European Patent Office | 2017

    Free access

    Real-time non-onboard diagnostics of aircraft failures

    European Patent Office | 2017

    Free access