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Life Prediction and Classification of Failure Modes in Solid State LuminairesUsing Bayesian Probabilistic Models.

机译：基于贝叶斯概率模型的固态灯具寿命预测与失效模式分类。

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A new method has been developed for assessment of the onset of degradation in solid state luminaires to classify failure mechanisms by using metrics beyond lumen degradation that are currently used for identification of failure. Luminous Flux output, Correlated Color Temperature Data on Philips LED Lamps has been gathered under 85°C/85%RH till lamp failure. The acquired data has been used in conjunction with Bayesian Probabilistic Models to identify luminaires with onset of degradation much prior to failure through identification of decision boundaries between lamps with accrued damage and lamps beyond the failure threshold in the feature space. In addition luminaires with different failure modes have been classified separately from healthy pristine luminaires. It is expected that, the new test technique will allow the development of failure distributions without testing till L70 life for the manifestation of failure.

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作者
Lall, P.; Sakalaukus, P.; Wei, J.;
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年度 2014
页码 1-10
总页数 10
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Luminaires; Service life; Prediction; Baysian analysis; Probability (Statistics); LED (Diodes);

机译：灯具;使用寿命;预测;贝叶斯分析;概率（统计）; LED（二极管）;

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4. Life prediction and classification of failure modes in solid state luminaires using Bayesian Probabilistic Models [C] . Lall Pradeep, Wei Junchao, Sakalaukus Peter IEEE Electronic Components and Technology Conference . 2014

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Life Prediction and Classification of Failure Modes in Solid State LuminairesUsing Bayesian Probabilistic Models.

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