Prognostic algorithms for L70 life prediction of solid state lighting

A. N. Padmasali, S. G. Kini

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The life of light-emitting diodes (LEDs) is difficult to measure by traditional testing methods as they are not likely to fail completely. The Illuminating Engineering Society of North America (IESNA) uses a standard regression approach based on short-term collected lumen data to predict the L70 lifetime of LEDs. In this paper, a model-based prognostics method is employed to determine the life of luminaires using LEDs. Unscented Kalman filter and particle filter algorithms are used for degradation model parameter estimation. An analytical approach based on three statistical models (Weibull, normal, lognormal) is employed and a best fit is determined by the Akaike information criterion. The resulting L70 is compared with L70 derived from the IESNA approach to accurately determine the best prognostic method.

Original languageEnglish
Pages (from-to)608-623
Number of pages16
JournalLighting Research and Technology
Volume48
Issue number5
DOIs
Publication statusPublished - 01-08-2016

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Illuminating engineering
Light emitting diodes
Lighting
Lighting fixtures
Kalman filters
Parameter estimation
Degradation
Testing

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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Prognostic algorithms for L70 life prediction of solid state lighting. / Padmasali, A. N.; Kini, S. G.

In: Lighting Research and Technology, Vol. 48, No. 5, 01.08.2016, p. 608-623.

Research output: Contribution to journalArticle

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