scholarly journals Selection of fiber-optical components for temperature measurement for satellite applications

2017 ◽  
Author(s):  
N. Kuhenuri Chami ◽  
A. Hurni ◽  
N. M. K. Lemke ◽  
P. Putzer ◽  
A. W. Koch ◽  
...  
Keyword(s):  
Temperature Measurement ◽  
Optical Components ◽  
Fiber Optical ◽  
Satellite Applications ◽  
Selection Of

Study of the Correction of Effects Chromatic Dispersion and Attenuation to Evaluate the Optical Transmission

2020 ◽  
Vol 41 (2) ◽  
pp. 209-214
Author(s):  
Saliha Kheris ◽  
Badra Bouabdallah
Keyword(s):  
Optical Transmission ◽  
Signal To Noise Ratio ◽  
Chromatic Dispersion ◽  
Optical Amplifier ◽  
Laser Source ◽  
Long Distance ◽  
Optical Components ◽  
Optical Detector ◽  
Fiber Optical ◽  
Dispersion And Attenuation

AbstractIn this paper, we have presented a global study of simple bonds, focusing on the main limitations introduced by different optical components as laser source, fiber, optical amplifier, and optical detector. The construction of a long-distance link requires the compensation of attenuation and chromatic dispersion phenomena. Thus, it is well known that the attenuations cause the drop of the signal intensity, whereas the pulse spreading, due to the dispersion, causes the increase of the Bit Error Rate (BER) and consequently the reduction of the signal to noise ratio (SNR). In this purpose, we have calculated the quality factor (Q) issues from the noisy signal’s simulations. We have found a Q of 7.02 to a BER of 0.8 e−12. The founding results match well with fixes norms in telecommunication field.

The Selection of Thermistors for the Temperature Measurement Gear

1970 ◽  
Vol 111 (5) ◽  
pp. 59-62
Author(s):  
J. Leskauskaite ◽  
A. Dumcius
Keyword(s):  
Temperature Measurement ◽  
Measurement Errors ◽  
Numerical Data ◽  
Optimum Selection ◽  
Selection Of

The parameters represented on manufacturer datasheet are usually insufficient for the optimum selection of thermistors. Some manufacturers give generalized numerical data of R(T) dependences. Using this data it is possible to select successfully the most suitable thermistor and equation for describing of T(R) dependence. It is shown that by selecting four points in the generalized characteristic it is possible to calculate the coefficients of the approximation equation. By the application of these coefficients in the calculations the temperature measurement errors can be decreased by an order. The results of calculations and experiment are given. Ill. 4, bibl. 8, tabl. 5 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.111.5.357

Measurement of High Thermodynamic Temperatures in the DLR Solar Furnace by UV-B Detection

Solar Energy ◽  
2002 ◽  
Author(s):  
Nicola Rohner ◽  
Andreas Neumann
Keyword(s):  
Temperature Measurement ◽  
Temperature Measurements ◽  
Solar Furnace ◽  
Correct Selection ◽  
Basic Material ◽  
Atmospheric Conditions ◽  
Spectral Measurements ◽  
System Temperature ◽  
Selection Of

The correct selection of the operating wavelength is essential for a precise pyrometric temperature measurement on solar irradiated samples, as the measurement may be disturbed by reflected solar radiation. Atmospheric conditions and particularly the emissivity as basic material property determine the amount of this reflected and the emitted radiation from a sample under investigation. An approach to solve this problem by using a monochromator system for temperature measurement in the UV-B range was developed and experimentally tested. With this system, temperature measurements were possible beginning at 1320°C and ranging up to about 2400°C. Two calculation methods are described and compared. The influence of the calibration temperature on the quality of the temperature measurement is shown. Measurements on a blackbody up to 1500°C were performed for calibration purpose. Temperature measurements on a real solar heated magnesia sample up to 2400°C are presented and discussed. These spectral measurements on hot bodies irradiated in the DLR Solar Furnace led to the final specification of the measurement wavelengths to be in the range from 280 nm to 293 nm.

scholarly journals Analysis of Long-Term Measured Exterior Air Temperature in Zilina

2018 ◽  
Vol 14 (2) ◽  
pp. 124-131 ◽  
Author(s):  
Daniela Jurasova
Keyword(s):  
Climate Change ◽  
Temperature Measurement ◽  
Air Temperature ◽  
Weather Data ◽  
Time Data ◽  
Long Time ◽  
Experimental Laboratory ◽  
Weather Stations ◽  
Selection Of

Abstract The climate change assumes nowadays on significance. Weather data may be available on various time scales – long-term, minutes, hours, days, periods, years. Measurements of air temperature are realized for a long time. Data in Slovakia are available from few weather stations of Slovak Hydrometeorological Institute (SHMI). For long-term and wide-ranging measurement of various parameters this can be complicated and expensive. This paper is focused on temperature measurement near the experimental laboratory. Estimation of daily, monthly and yearly mean temperatures is done in different ways. Results from experimental temperature measurement, in a way of selection of unusual extremes are presented. Shorter recording intervals describe the temperature courses in a more pertinent way.

scholarly journals Study on Temperature Measurement Point Optimization and Thermal Error Modeling of NC Machine Tools

2017 ◽  
Vol 11 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Shuo Fan ◽  
Qianjian Guo
Keyword(s):  
Machine Tool ◽  
Temperature Measurement ◽  
Thermal Error ◽  
Error Model ◽  
Measurement Point ◽  
Nc Machine Tool ◽  
Temperature Measurement Point ◽  
Nc Machine ◽  
Thermal Error Model ◽  
Selection Of

Background: In precision machining, thermal error is the main source of machine tool error. And thermal error compensation is an effective method to reduce thermal error. Objective: In order to improve the prediction accuracy and computational efficiency of thermal error model, a new optimization method used for the selection of temperature measurement point is proposed. Method: This method is based on stepwise regression. According to the results of partial-F statistic, new variable is selected one by one, unapparent variables are deleted, and optimization selection of temperature measurement point is fulfilled, thermal error model of the NC machine tool is presented. Result: The new modeling method was used on NC machine tool, which reduced the temperature point number from 24 to 5. Moreover, model residual was less than 5µm after compensation. Conclusion: The result shows that the new thermal error model has higher prediction accuracy and less temperature variables.

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