Automotive systems are becoming increasingly dependent on electrical components, computer control, and sensors. It has become extremely critical to detect faults in the electrical system and predict the remaining useful life of failing components. This paper introduces an integrated methodology for monitoring, modeling, data processing, fault diagnosis, and failure prognosis of critical electrical components such as the battery. The enabling technologies include signal processing, sensor selection and placement, selection and extraction of optimum condition indicators, and accurate fault diagnosis and failure prognosis algorithms that are based on both the physics of failure models and Bayesian estimation methods. The proposed architecture is implementable on-board an Electronic Control Unit (ECU) requiring minimum computational resources. Potential benefits include reduction in maintenance costs, improved asset reliability and availability and longer life of critical components.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Intelligent Diagnostic/Prognostic Framework for Automotive Electrical Systems


    Contributors:


    Publication date :

    2007-06-01


    Size :

    361484 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    An intelligent diagnostic/prognostic framework for automotive electrical systems

    Abbas, M. / Ferri, A.A. / Orchard, M.E. et al. | Tema Archive | 2007


    An Intelligent Diagnostic/Prognostic Framework for Automotive Electrical Systems

    Abbas, M. / Ferri, A.A. / Orchard, M.E. et al. | British Library Conference Proceedings | 2007


    Analysis of computer intelligent diagnostic models in automotive vehicle's electrical equipment

    Yastrebov, Alexander / Gad, Stanislaw / Slon, Grzegorz et al. | Tema Archive | 2004


    An Intelligent Diagnostic System for Distributed, Multi-ECU Automotive Control Systems

    Jackman, Brendan / Foran, Thomas | SAE Technical Papers | 2005


    An intelligent diagnostic system for distributed, multi-ECU automotive control systems

    Foran,T. / Jackman,B. / Waterford Inst.of Technol.,WIT,IE | Automotive engineering | 2005