Feature extraction and damage-precursors for prognostication of lead-free electronics

Damage pre-cursors based health management and prognostication methodology has been presented for electronic systems in harsh environments. The framework has been developed based on a development of correlation between damage pre-cursors and underlying degradation mechanisms in lead-free packaging a...

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Bibliographic Details
Published in56th Electronic Components and Technology Conference 2006 p. 10 pp.
Main Authors Pradeep Lall, Madhura Hande, Chandan Bhat, Nokibul Islam, Suhling, J., Lee, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
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ISBN1424401526
9781424401529
ISSN0569-5503
DOI10.1109/ECTC.2006.1645736

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Summary:Damage pre-cursors based health management and prognostication methodology has been presented for electronic systems in harsh environments. The framework has been developed based on a development of correlation between damage pre-cursors and underlying degradation mechanisms in lead-free packaging architectures. The proposed methodology eliminates the need for knowledge of prior stress histories and enables interrogation of system state using the identified damage pre-cursors. Test vehicle includes various area-array packaging architectures subjected to single thermo-mechanical stresses including thermal cycling in the range of -40degC to 125degC and isothermal aging at 125degC. Experimental data on damage pre-cursors has been presented for packaging architectures encompassing flex-substrate ball grid arrays, chip-array ball grid arrays, and plastic ball grid arrays. Examples of damage proxies include, phase-growth parameter, intermetallic thickness and interfacial stress variations. Damage proxies have correlated with residual life. The damage proxies have also been correlated with computational finite-element model predictions. Plastic and creep strain energy densities have been correlated to the identified damage proxies
ISBN:1424401526
9781424401529
ISSN:0569-5503
DOI:10.1109/ECTC.2006.1645736