Smart dampers-based vibration control – Part 1: Measurement data processing

2020 ◽  
Vol 145 ◽  
pp. 106958 ◽  
Author(s):  
Sy Dzung Nguyen ◽  
Seung-Bok Choi ◽  
Joo-Hyung Kim
Keyword(s):  
Data Processing ◽  
Vibration Control ◽  
Measurement Data ◽  
Smart Dampers ◽  
Control Part

Absorbed Radiation Heat Flux Sensors for Orbital Spacecraft. Algorithms for Measurement Data Processing

2021 ◽  
Vol 30 (3) ◽  
pp. 383-403
Author(s):  
A. V. Nenarokomov ◽  
D. L. Reviznikov ◽  
D. A. Neverova ◽  
E. V. Chebakov ◽  
A. V. Morzhukhina ◽  
...  
Keyword(s):  
Heat Flux ◽  
Data Processing ◽  
Measurement Data ◽  
Radiation Heat ◽  
Radiation Heat Flux ◽  
Heat Flux Sensors ◽  
Orbital Spacecraft

scholarly journals Selected algorithms for measurement data processing in impulse-radar-based system for monitoring of human movements

2016 ◽  
Vol 772 ◽  
pp. 012057 ◽  
Author(s):  
Andrzej Miękina ◽  
Jakub Wagner ◽  
Paweł Mazurek ◽  
Roman Z. Morawski
Keyword(s):  
Data Processing ◽  
Measurement Data ◽  
Human Movements

Visual Processing of the River Cross-Sectional Data

2012 ◽  
Vol 204-208 ◽  
pp. 2726-2730
Author(s):  
Qi Qing Duan ◽  
Rui Hai Wu
Keyword(s):  
Data Processing ◽  
Cross Section ◽  
Visual Processing ◽  
Measurement Data ◽  
Measurement Process ◽  
Cross Section Data ◽  
Section Data ◽  
Section Line ◽  
Straight Line ◽  
The Cross

The cross-section of Hydraulic engineering (river, embankment) is a kind of cross section which is always perpendicular to the river direction. Section line is a straight line which is created by connecting two endpoint of the section. Cross-section measurements is that collecting a coordinate point (X, Y, H) on the section line every a certain distance. Field measurement, due to the influence of the external environment, especially when measured in the river, is difficult to ensure that the location of the measurement point exactly on the straight line shown in the section. The reason is that tracking ship traveling along with the section will be impacted by the water, resulting in the offset along the flow direction. Therefore we must to constantly adjust the direction of travel in the measurement process. For which the measurement data should be processed. So it is necessary to deal with the measurement data, and the idea of visual data was proposed in the paper, which is easier to analyze the accuracy of the measurement data. The BUFFER analysis method was used in the data processing, which effectively removed measurement invalid point that far away from the cross-section in measurement and improved the accuracy of the cross-section data processing. On the other hand, the effective pedal point coordinates was used in the calculation of the plane location of cross-section point. The coordinate which can make the cross-section data more realistic and different from the translation of point and uniform distribution algorithm closeted to the effective point of measurement. The method that the elevation of pedal point on the cross section calculated using the distance weighted interpolation method has been applied in the measurement process of several rivers. It is proved in practice that the method got good results and achieved the accuracy of the data and quality which the application sector requirements on.

scholarly journals Better turbulence spectra from velocity–azimuth display scanning wind lidar

2019 ◽  
Vol 12 (3) ◽  
pp. 1871-1888 ◽  
Author(s):  
Felix Kelberlau ◽  
Jakob Mann
Keyword(s):  
Data Processing ◽  
Resonance Effect ◽  
Measurement Data ◽  
Cross Contamination ◽  
Raw Data ◽  
Combined Use ◽  
Beam Method ◽  
Wind Lidar ◽  
Velocity Spectra ◽  
Methods Numerical

Abstract. Turbulent velocity spectra derived from velocity–azimuth display (VAD) scanning wind lidars deviate from spectra derived from one-point measurements due to averaging effects and cross-contamination among the velocity components. This work presents two novel methods for minimizing these effects through advanced raw data processing. The squeezing method is based on the assumption of frozen turbulence and introduces a time delay into the raw data processing in order to reduce cross-contamination. The two-beam method uses only certain laser beams in the reconstruction of wind vector components to overcome averaging along the measurement circle. Models are developed for conventional VAD scanning and for both new data processing methods to predict the spectra and identify systematic differences between the methods. Numerical modeling and comparison with measurement data were both used to assess the performance of the methods. We found that the squeezing method reduces cross-contamination by eliminating the resonance effect caused by the longitudinal separation of measurement points and also considerably reduces the averaging along the measurement circle. The two-beam method eliminates this averaging effect completely. The combined use of the squeezing and two-beam methods substantially improves the ability of VAD scanning wind lidars to measure in-wind (u) and vertical (w) fluctuations.

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