• DocumentCode
    3508351
  • Title

    Reliability assessment for LED luminaires based on Step-Stress Accelerated Life Test

  • Author

    Ming Gong ; Xiaosong Ma ; Daoguo Yang ; Miao Cai ; Zhen Zhang ; Rongbin Ren ; Yu Yang

  • Author_Institution
    Guangxi Key Lab. of Manuf. Syst. & Adv. Manuf. Technol., Guilin Univ. of Electron. Technol., Guilin, China
  • fYear
    2012
  • fDate
    13-16 Aug. 2012
  • Firstpage
    1546
  • Lastpage
    1549
  • Abstract
    LED luminaires have the characteristics of high reliability and long life-time and it is difficult to be evaluation of reliability. In order to assess the reliability of LED luminaires, Step Stress Accelerated Life Test (SSALT) method with temperature as its stress is used to test the LED luminaires. This method has shortened the test-time greatly. The test-time at 45°C is converted to a test-time at 85°C by using Nelson´s law. Besides, Arrhenius model is selected to indicate the relationship between the average life of LED luminaires and temperature. Then, Maximum Likelihood Estimation (MLE) of LED luminaires life is established under lognormal distribution. Matlab software is applied to calculate the life of the samples and the reliability curve is acquired based on relevant reliability parameters.
  • Keywords
    life testing; light emitting diodes; log normal distribution; maximum likelihood estimation; reliability; stress analysis; Arrhenius model; LED luminaires; MLE; Matlab software; Nelson law; SSALT method; lognormal distribution; maximum likelihood estimation; reliability assessment; reliability curve; reliability parameters; step-stress accelerated life test method; temperature 45 degC; temperature 85 degC; Light emitting diodes; Photonics; Reactive power; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Packaging Technology and High Density Packaging (ICEPT-HDP), 2012 13th International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4673-1682-8
  • Electronic_ISBN
    978-1-4673-1680-4
  • Type

    conf

  • DOI
    10.1109/ICEPT-HDP.2012.6474901
  • Filename
    6474901