Correlated Color Temperature Measuring and Adjustment System

Breniuc, Liviu; Haba, Cristian-Gyozo; Galatanu, Catalin-Daniel; Petrisor, Daniel; Hertanu, Radu

doi:10.1109/atee.2019.8724926

Cited by 6 publications

(1 citation statement)

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“…[30] employed a k-nearest neighbor algorithm and categoryspecific regression models. Breniuc et al [31] used the raw sensor readouts of an RGBC (RGB + clear silicon channel) sensor to calculate illuminance and CCT values for a tunablewhite LED luminaire. Chew et al [32] and Maiti and Roy [33] both used data from color sensors to model human trichromatic responses directly in the feedback loop of a multi-luminaire lighting system.…”

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confidence: 99%

LED Degradation Monitoring Using a Multi-Channel Spectral Sensor

Myland,

Herzog,

Babilon

et al. 2024

IEEE Access

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This study explores a novel approach to monitor the spectral emission of LEDs by estimating the spectral power distribution from the spectral sensor responses during an accelerated ageing experiment. Two methods for reconstructing the actual LED spectra from sensor responses are presented and tested, one solely requires sensor datasheet information and the other uses a full spectral characterisation of the sensor's spectral sensitivities. The reconstruction results show that a spectral sensor can provide accurate spectral estimates even after severe LED degradation. Only for an LED that suffered a phosphor crack, affecting its spatial radiation characteristics, limited ability to estimate the true spectral power distribution without prior assumptions about the spectral changes must be reported. Overall, the use of a spectral sensor, even without detailed characterisation of the sensor itself, allows for an accurate monitoring of the true emission of LEDs, with a maximum radiometric error of 0.73 %, a maximum colormetric error of 0.0017 ∆u ′ v ′ and a maximum spectral nRMSE error of 0.0097 compared to a spectroradiometric measurement. This advance holds great promise for improving lighting technology, particularly in applications that require constant radiometric output and stable color.

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confidence: 99%