• DocumentCode
    1760665
  • Title

    Lumen Depreciation Diagnosis in Modulated LED Lighting Systems

  • Author

    Jianfei Dong ; Pandharipande, Ashish

  • Author_Institution
    Philips Res. Eindhoven, Eindhoven, Netherlands
  • Volume
    25
  • Issue
    15
  • fYear
    2013
  • fDate
    Aug.1, 2013
  • Firstpage
    1466
  • Lastpage
    1469
  • Abstract
    Lumen depreciation is the condition that the light output of a light emitting diode (LED) lamp falls below a fraction of its peak output. In LED lighting systems with multiple LED lamps, lumen depreciation leads to undesired distortions in the rendered illumination distribution. Automatic diagnosis of lumen depreciation in LED lighting systems is thus an important problem. We propose an approach to diagnose lumen depreciation in individual LEDs using photosensors by modulating the LED lamp output with a unique identifier and encoding average drive current within, and a carrier sense multiple access on the optical channel. At the photosensor, the received signal is processed in the electrical domain. The average drive current corresponding to an individual LED lamp is extracted and a residual is computed with respect to a nominal value. A threshold detector based on testing the mean change of the residual signal is used to diagnose lumen depreciation of the LED lamps.
  • Keywords
    LED lamps; carrier sense multiple access; encoding; lighting; optical modulation; photodetectors; LED lamps; automatic diagnosis; average drive current; carrier sense multiple access; electrical domain; encoding; light emitting diode lamp; light output; lumen depreciation diagnosis; modulated LED lighting systems; optical channel; photosensors; rendered illumination distribution; residual signal; threshold detector; CSMA; LED lighting system; lumen depreciation diagnosis; modulated light;
  • fLanguage
    English
  • Journal_Title
    Photonics Technology Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1041-1135
  • Type

    jour

  • DOI
    10.1109/LPT.2013.2267591
  • Filename
    6527930