Predicting of luminous flux for a LED array using artificial neural network

Cao, Yixing; Yuan, Weiyi; Chen, Wei; Li, Min; Fan, Jiajie; Zhang, Guoqi

doi:10.1109/eurosime48426.2020.9152620

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…Finite element method with LED chip PET ANN is used to calculate the temperature distribution of the high power light source. Cao et al 29 proposed the BP and GA-BP methods to estimate the luminous flux of an LED array with a precision of more than 98.5% and a short train time. Yuan et al 30 used deep ML techniques to create a gated network with a two-step learning algorithm to build an empirical relationship between the design parameters, thermal ageing loading and luminous output of LED products.…”

Section: Introductionmentioning

confidence: 99%

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Comparison and validation of neural network models to estimate LED spectral power distribution

Lokesh

Padmasali

Mahesha

et al. 2023

Lighting Research & Technology

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The spectral power distribution (SPD) is the true fingerprint of a light source and is mainly dependent on electrical and thermal loading. Both the photometric and colorimetric quantities are originally extracted from SPD. Therefore, the dynamic prediction of SPD for LED has become an important aspect to evaluate the performance of LED during its time of operation. Generally, the statistical models are used to predict SPD. However, the statistical model with more than two input makes the system complex and time demanding. Artificial Neural Network (ANN) models, on the other hand, can help with this problem. The major goal of this research is to improve the utility of ANN in lighting applications. This is demonstrated by various neural network (NN) structures referred as models 1, 2 and 3 with combinations of varied neurons and hidden layers (HLs) to forecast SPD for various electrical and thermal stress levels at zero hours. The results are compared and based on absolute prediction error (APE) set to 5%, model 1 is considered as the best model for the SPD prediction. In addition, the time-based SPD prediction with model 1 is investigated using temperature, wavelength and time as input parameters for the LED luminaire and is validated.

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Section: Introductionmentioning

confidence: 99%

“…Cao et al . 29 proposed the BP and GA-BP methods to estimate the luminous flux of an LED array with a precision of more than 98.5% and a short train time. Yuan et al .…”

Section: Introductionmentioning

confidence: 99%

Comparison and validation of neural network models to estimate LED spectral power distribution

Lokesh

Padmasali

Mahesha

et al. 2023

Lighting Research & Technology

View full text Add to dashboard Cite

show abstract

“…In addition to the advantages, their other features seem to be important. These features are relatively low luminous flux from a single light-emitting diode [23,24], high luminance (although this is not only an advantage), sensitivity to high-temperature operation [25], and the low power factor of the power supply circuits [26].…”

Section: Introductionmentioning

confidence: 99%

The Photometric Test Distance in Luminance Measurement of Light-Emitting Diodes in Road Lighting

Czyżewski

2023

Energies

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Over the last few years, light-emitting diodes have completely dominated the lighting field. In road lighting, high-power LEDs have replaced traditional light sources. That is why various technical aspects of LEDs have been researched extensively worldwide. However, little research has been conducted in the area of luminance measurement. This paper reviews the methods for measuring the luminance of high-power LEDs. Particular attention is paid to the influence of the measurement distance on the measurement results. Next, the results of the tests using a modern image luminance measuring device (ILMD) for luminance measurements are presented. It is concluded that it is necessary to redefine the photometric test distance. The conducted research demonstrates that an incorrectly selected test distance can lead to the huge errors of several hundred per cent or more. In addition, the possible impact of the incorrect measurements on the design of road lighting installations is presented. It is shown that a road lighting installation can use over 300% more electrical energy compared to the installation based on the correct luminance measurements of single LEDs. In the final stage of the research, the definition of the photometric test distance for LED measurements using ILMD is proposed. The results of the research can also be useful for the luminance measurements of other types of LEDs.

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