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Physics-of-failure-based prognostics and health management for high-power white light-emitting diode lighting

机译:大功率白色发光二极管照明基于故障物理的预测和健康管理

摘要

Recently, high-power white light-emitting diodes (LEDs) have attracted much attention due to their versatility in applications and to the increasing market demand for them. So great attention has been focused on producing highly reliable LED lighting. How to accurately predict the reliability of LED lighting is emerging as one of the key issues in this field. Physics-of-failure-based prognostics and health management (PoF-based PHM) is an approach that utilizes knowledge of a product's life cycle loading and failure mechanisms to design for and assess reliability. In this paper, after analyzing the materials and geometries for high-power white LED lighting at all levels, i.e., chips, packages and systems, failure modes, mechanisms and effects analysis (FMMEA) was used in the PoF-based PHM approach to identify and rank the potential failures emerging from the design process. The second step in this paper was to establish the appropriate PoF-based damage models for identified failure mechanisms that carry a high risk.
机译:近来,大功率白光发光二极管(LED)由于其在应用中的多功能性以及对它们的不断增长的市场需求而备受关注。因此,注意力集中在生产高度可靠的LED照明上。如何准确地预测LED照明的可靠性正在成为该领域的关键问题之一。基于故障物理的预测和健康管理(基于PoF的PHM)是一种利用产品生命周期负载和故障机制知识来设计和评估可靠性的方法。在对基于PoF的PHM方法中使用的芯片,封装和系统,失效模式,机理和效果分析(FMMEA)的各个层面进行分析之后,本文对高功率白光LED照明的材料和几何形状进行了分析。并对设计过程中出现的潜在故障进行排名。本文的第二步是建立适当的基于PoF的损坏模型,用于确定具有高风险的故障机制。

著录项

  • 作者

    Fan J; Yung KC; Pecht M;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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