Resumo

FERNANDEZ LABRADA, Diego de los Angeles; CASTRO FERNANDEZ, Miguel; GUERRA BLANCO, Ernesto Alejandro  e  FERNANDEZ MARTINEZ, Degnis. Non-traditional probabilistic distributions for reliability study of LEDs used in lighting. Energética [online]. 2020, vol.41, n.1, e1611.  Epub 01-Jan-2020. ISSN 1815-5901.

Due to the increased use of LED technology and the complexity of its modes and failure mechanisms, its reliability is a key research issue. To carry out reliability studies based on accelerated test data, the Weibull distribution is generally the most widely used; but in the LEDs, as these are degraded continuously, this distribution may not work with the same efficacy. This paper shows the procedure for obtaining reliability models of white LEDs used in lighting, from non-traditional probability distributions of "times to failure" obtained, according to the criterion $L_{70}$of ASSIST, from accelerated testing of the consulted literature. The analyzes carried out with the “times to failure” showed that there is insufficient evidence to reject that the data follow the distributions of Weibull-Exponential Generalized(WGED) and Modified Weibull(MWD), according to the Kolmogorov-Smirnov Test.

Palavras-chave : White LEDs; Reliability Analysis; Accelerated Test; non-traditional probability distributions; lifetime.

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