There is a continual growth of test and validation in high reliability product applications such as automotive, military and avionics. Principally this is driven by the increased use and complexity of electronic systems deployed in vehicles, in addition to end user reliability expectations. Higher reliability expectations consequently driving increased test durations. Furthermore product development cycles continue to reduce, resulting in less available time to perform accelerated life tests. The challenge for automotive electronic suppliers is performing life tests in a shorter period of time whilst reducing the overall associated costs of validation testing.In this paper, the application of prognostic and health monitoring techniques are examined and a novel approach to the validation and testing of automotive electronics proposed which it is suggested may be more cost effective and efficient than traditional testing. The holistic method explored in this paper fuses real time test data obtained during the monitoring of products throughout an environmental exposure with key factors from manufacturing and product design. Factors such as printed circuit board warpage and board stresses introduced during the reflow process are known to affect solder joint longevity. Equally, previous work by the authors on component floor plan layout and constraint point influences showed in the case of area array packaged components a reduction of up to 56% in solder joint reliability [1,2,3].Inclusion of such factors in a real time prognostic engine is expected to yield not only improved reliability prediction accuracy but additionally offer shorter test execution times and resource savings.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Prognostic and Data Fusion Based Approach to Validating Automotive Electronics


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE 2014 World Congress & Exhibition ; 2014



    Publication date :

    2014-04-01




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    A Prognostic and Data Fusion Based Approach to Validating Automotive Electronics

    Braden, D.R. / Harvey, D.M. / Society of Automotive Engineers | British Library Conference Proceedings | 2014


    Validating automotive safety functions

    SCHWINDT OLIVER F / GARCIA BORDES MARIA EUGENIA / PELOSSE JEAN-FRANCOIS et al. | European Patent Office | 2018

    Free access

    VALIDATING AUTOMOTIVE SAFETY FUNCTIONS

    SCHWINDT OLIVER F / GARCIA BORDES MARIA EUGENIA / PELOSSE JEAN-FRANCOIS et al. | European Patent Office | 2016

    Free access

    Assessing and validating automotive software

    Elliott, J. | Tema Archive | 1991


    Validating Prognostic Algorithms: A Case Study Using Comprehensive Bearing Fault Data

    Lybeck, Nancy / Marble, Sean / Morton, Brogan | IEEE | 2007