Abstract: A lighting device that includes a lighting unit, index unit, drive unit, sensor, and control unit. The lighting unit includes a plurality of light sources, with each light source having different color spectra. The index unit is to calculate a color rendering index based on stored data on spectra of the light sources and individual first drive data for the light sources. The drive unit is to individually energize the light sources according to the first drive data. The sensor is to measure a spectral power distribution emitted by the lighting unit. The control unit is to receive the spectral power distribution, predetermined spectral power distribution, and color rendering index associated with weighted sensor values calculable from the individual first drive data, maximize the color rendering index, and stop maximization when an error between the predetermined spectral power distribution and the measured spectral power distribution falls below a limit value.

Abstract: A lighting device and method with a lighting unit which includes several light sources having different color spectra, with a sensor for determining the spectral power distribution emitted by the lighting unit, with a control unit which, as a function of a predetermined spectral power distribution as well as of the spectral power distribution measured by the sensor, acts on a drive unit which individually energizes the light sources of the lighting unit, so that the emitted light has predetermined spectral power distribution, wherein the lighting unit includes at least four light sources, and the control unit uses an optimization algorithm which, as an optimization goal, maximizes a coefficient of weighted sensor values, the coefficient being calculable from individual drive data of the light sources. A secondary condition is met when error between the predetermined spectral power distribution and the measured spectral power distribution is smaller than a limit value.

Abstract: A lighting device that includes a lighting unit, index unit, drive unit, sensor, and control unit. The lighting unit includes a plurality of light sources, with each light source having different color spectra. The index unit is to calculate a color rendering index based on stored data on spectra of the light sources and individual first drive data for the light sources. The drive unit is to individually energize the light sources according to the first drive data. The sensor is to measure a spectral power distribution emitted by the lighting unit. The control unit is to receive the spectral power distribution, predetermined spectral power distribution, and color rendering index associated with weighted sensor values calculable from the individual first drive data, maximize the color rendering index, and stop maximization when an error between the predetermined spectral power distribution and the measured spectral power distribution falls below a limit value.

Abstract: A method of constructing an enveloping mesh geometry (EMG) for a plurality of sample mesh geometries (MG). The enveloping mesh geometry is a geometric representation of the mean of the probability distribution underlying the sample space from which the enveloping mesh geometry (MG) have been drawn. The method is based on estimating probability densities fj using the kernel density method. The method further comprises constructing, based on the enveloping mesh geometry (EMG) so constructed, further enveloping mesh geometries (EMG-?) related to the ?-Quantiles of the probability distribution. The enveloping mesh geometries (EMG, MG-?) are suitable for development and test procedures in aircraft and automotive manufacturing processes.

Abstract: A lighting device and method with a lighting unit which includes several light sources having different color spectra, with a sensor for determining the spectral power distribution emitted by the lighting unit, with a control unit which, as a function of a predetermined spectral power distribution as well as of the spectral power distribution measured by the sensor, acts on a drive unit which individually energizes the light sources of the lighting unit, so that the emitted light has predetermined spectral power distribution, wherein the lighting unit includes at least four light sources, and the control unit uses an optimization algorithm which, as an optimization goal, maximizes a coefficient of weighted sensor values, the coefficient being calculable from individual drive data of the light sources. A secondary condition is met when error between the predetermined spectral power distribution and the measured spectral power distribution is smaller than a limit value.

Abstract: A method of constructing an enveloping mesh geometry (EMG) for a plurality of sample mesh geometries (MG). The enveloping mesh geometry is a geometric representation of the mean of the probability distribution underlying the sample space from which the enveloping mesh geometry (MG) have been drawn. The method is based on estimating probability densities fj using the kernel density method. The method further comprises constructing, based on the enveloping mesh geometry (EMG) so constructed, further enveloping mesh geometries (EMG-?) related to the ?-Quantiles of the probability distribution. The enveloping mesh geometries (EMG, MG-?) are suitable for development and test procedures in aircraft and automotive manufacturing processes.