DocumentCode :
1479242
Title :
Diagnosing Lumen Depreciation in LED Lighting Systems: An Estimation Approach
Author :
Dong, Jianfei ; Pandharipande, Ashish ; Van Driel, Willem ; Zhang, Guoqi
Author_Institution :
Philips Res., Eindhoven, Netherlands
Volume :
60
Issue :
7
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
3796
Lastpage :
3808
Abstract :
Lumen depreciation, the condition that the light output falls below a fraction of its peak output, is known to be the main failure mode in light emitting diodes (LEDs). In lighting systems comprising multiple LEDs, lumen depreciation leads to reduced average illuminance and a distorted illumination rendering. Diagnosing lumen depreciation in LED lighting systems is thus an important problem. We propose an estimation approach to diagnosing individual LED failures using a photosensor system. We specifically study the impact of perturbations in the photosensor positions on diagnosability by analyzing the sensor output matrix-the matrix relating the luminous flux values of the multiple LEDs to the measurements at the photosensor system. The conditions on diagnosability are first derived in terms of bounds on the smallest singular value of the sensor output matrix. Subsequently, sufficient conditions are derived on the photosensor positions to ensure that individual LED lumen depreciations are diagnosable. Numerical results are provided to validate our analytical results.
Keywords :
failure analysis; light emitting diodes; lighting; matrix algebra; photodetectors; rendering (computer graphics); singular value decomposition; LED lighting system; distorted illumination rendering; failure mode; illuminance; light emitting diode; lumen depreciation diagnosis; luminous flux; photosensor position perturbation; sensor output matrix; singular value; Covariance matrix; Estimation; Light emitting diodes; Light sources; Lighting; Temperature measurement; Vectors; Estimation; LED lighting systems; lumen depreciation diagnosis; photosensor position perturbation;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2012.2192114
Filename :
6175148
Link To Document :
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