Convergence Estimation of a Structure Identification Method for Discrete Interval Models of Atmospheric Pollution by Nitrogen Dioxide

2019 ◽  
Author(s):  
Iryna Darmorost ◽  
Mykola Dyvak ◽  
Nataliya Porplytsya ◽  
Taras Shynkaryk ◽  
Yevgeniya Martsenyuk ◽  
...  
Keyword(s):  
Nitrogen Dioxide ◽  
Atmospheric Pollution ◽  
Structure Identification ◽  
Identification Method ◽  
Discrete Interval

scholarly journals Experimental Study of a Multipoint Random Dynamic Loading Identification Method Based on Weighted Average Technique

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Xiaonan Gai ◽  
Kaiping Yu
Keyword(s):  
Dynamic Loading ◽  
Thermal Protection ◽  
Low Frequency ◽  
Weighted Average ◽  
Threshold Value ◽  
Structure Identification ◽  
Load Spectrum ◽  
Average Technique ◽  
Identification Method ◽  
Actual Load

Most of random dynamic loading identification research studies are about the original inverse pseudoexcitation method which does not fundamentally reduce the negative effect of ill-conditioned frequency response function matrix on accuracy of loading identification. This paper describes a new improved method based on weighted average technique to reduce peak errors between identified load spectrum and the actual load spectrum near some natural frequencies. Meanwhile, relative error of root mean square value between identified load and the actual load is reduced. The introduced selection method of threshold value is innovative which is the key of weighted average technique. This improved loading identification method is successfully applied to experiments of cantilever beam and thermal protection composite plate structure. Identification results prove that the proposed method is valid by good agreement between identified power spectrum density and the actual one. Moreover, this method has higher accuracy than inverse pseudoexcitation method in low-frequency band.

scholarly journals Pollution of the Territory of the Pribaikalsky National Park by Emissions from Forest Fires

2020 ◽  
Vol 20 (4) ◽  
pp. 240-249
Author(s):  
Svetlana A. Novikova ◽  
◽  
Irina V. Shcherbakova ◽  
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Nitrogen Dioxide ◽  
Forest Fires ◽  
Atmospheric Pollution ◽  
National Park ◽  
Program Complex

The aim of the work is to assess the contribution of emissions from forest fires to air pollution using the example of the territory of the Pribaikalsky National park. To achieve this goal, calculations of gross emissions were carried out based on forestry data on fires. With the help of the program complex «Ecologist» calculations of concentrations of impurities emitted into the atmosphere during forest fires were carried out. Based on the results of the calculations, maps of the concentrations of pollutants released into the atmosphere from fires were created. The analysis of the received results obtained allowed us to conclude that the established sanitary and hygienic standards were exceeded. Among the considered list of emissions, the maximum concentrations of acrolein, carbon monoxide, acetone, and nitrogen dioxide were revealed. The areas located in the zone of increased atmospheric pollution created by fires on the territory of the forestries of the Pribaikalsky National park were identified.

Design and Research of Dynamical Property Testing System for Nano and Micron Inertial Components

2014 ◽  
Vol 609-610 ◽  
pp. 1349-1356
Author(s):  
Li Yong Zhang
Keyword(s):  
System Identification ◽  
Dynamic Characteristics ◽  
Navigation System ◽  
Inertial Navigation System ◽  
Circuit Simulation ◽  
Inertial Navigation ◽  
Structure Identification ◽  
Simulation Test ◽  
System Identification Method ◽  
Identification Method

The accelerometer is a sensitive inertial component of the inertial navigation system, and its output signal is proportional to the transporters acceleration. In system design and test, the dynamic characteristic of the closed-loop system is an important parameter. At present, the use of wire vibration or angular vibration to provide an input signal cannot meet the amplitude and phase of system testing requirements, and the test cost is high. Therefore, the study of how the dynamic characteristics of electrical simulation test system to give a precise mathematical accelerometer model is an important part of the analysis of the inertial navigation system,which is an effective method to acquire the dynamic characteristics and can be extended to mini inertia instruments. In this paper, we use the system identification method to identify the model of the system. Modeling of the system identification method is to determine the mathematical model of the system by observing the relationship between system inputs and outputs. The content of system identification generally includes four parts which are experimental design, model structure identification, parameter estimation and model test. Circuit simulation test of dynamic character of accelerometer system and model identification method have been applied in practical application. This paper has tested the accuracy of developed system designed by different system identifications.

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