Egor Egorov

Dr. Egor Egorov


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 January 2018 in Sensors
Verified
Journal Article
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EEEgor Egorov
Egor Egorov
VAVadim Михайлович Agafonov
Vadim Михайлович Agafonov
SASvetlana Avdyukhina
Svetlana Avdyukhina
SBSergey Borisov
Sergey Borisov
A high-precision angular accelerometer based on molecular–electronic transfer (MET) technology with a high dynamic range and a low level of self-noise has been developed. Its difference from the analogues is in the use of liquid (electrolyte) as the inertial mass and the use of negative feedback based on the magnetohydrodynamic effect. This article reports on the development of the angular molecular–electronic accelerometer with a magnetohydrodynamic cell for the creation of negative feedback, and the optimization of electronics for the creation of a feedback signal. The main characteristics of the angular accelerometer, such as amplitude–frequency characteristics, self-noise and Allan variance were experimentally measured. The obtained output parameters were compared to its analogues and it showed perspectives for further development in this field.

20 November 2015 in Sensors
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Open access
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DZDmitry Zaitsev
Dmitry Zaitsev
VAVadim Михайлович Agafonov
Vadim Михайлович Agafonov
EEEgor Egorov
Egor Egorov
AAAlexander Antonov
Alexander Antonov
ASAnna Shabalina
Anna Shabalina
Modern molecular electronic transfer (MET) angular motion sensors combine high technical characteristics with low cost. Self-noise is one of the key characteristics which determine applications for MET sensors. However, until the present there has not been a model describing the sensor noise in the complete operating frequency range. The present work reports the results of an experimental study of the self-noise level of such sensors in the frequency range of 0.01–200 Hz. Based on the experimental data, a theoretical model is developed. According to the model, self-noise is conditioned by thermal hydrodynamic fluctuations of the operating fluid flow in the frequency range of 0.01–2 Hz. At the frequency range of 2–100 Hz, the noise power spectral density has a specific inversely proportional dependence of the power spectral density on the frequency that could be attributed to convective processes. In the high frequency range of 100–200 Hz, the noise is conditioned by the voltage noise of the electronics module input stage operational amplifiers and is heavily reliant to the sensor electrical impedance. The presented results allow a deeper understanding of the molecular electronic sensor noise nature to suggest the ways to reduce it.

1 January 2015 in Journal of Sensors
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EEEgor Egorov
Egor Egorov
IEIvan Egorov
Ivan Egorov
VAVadim Михайлович Agafonov
Vadim Михайлович Agafonov
Interest to angular motion seismic sensors is generated by an expectation that direct measurement of the rotations, associated with seismic signals, would allow obtaining more detailed and accurate information from them. Due to the seismic signals low intensity a self-noise of the sensors is one of the most crucial parameters, characterizing their performance. In seismic applications the molecular-electronic transfer (MET) technology is considered as one of the most promising technologies for the rotations measurements. In this research we have developed a noise model for the MET angular sensors. The experimental part of the research which fully agrees with theoretical data includes the instrument self-noise measurement in quite locations. Based on the modelling we have revealed the directions of further research to improve the MET angular sensors performance.

17 May 2016 in Journal of Sensors
Verified
Journal Article
Open access
PDF file
DZDmitry Zaitsev
Dmitry Zaitsev
VAVadim Михайлович Agafonov
Vadim Михайлович Agafonov
EEEgor Egorov
Egor Egorov
AAAlexander N. Antonov
Alexander N. Antonov
VKVladimir G. Krishtop
Vladimir G. Krishtop
This paper describes the use of MET-based low-noise angular motion sensors to precisely determine azimuth direction in a dynamic-scheme method of measuring the Earth’s rotational velocity vector. The scheme includes sensor installation on a rotating platform so that it could scan the space and seek for the position of the highest Earth’s rotation vector projection on its axis. This method is very efficient provided a low-noise sensor is used. A low-cost angular sensor based on MET (molecular electronic transduction) technology has been used. The sensors of this kind were originally developed for seismic activity monitoring and are well known for very good noise performance and high sensitivity. This approach, combined with the use of special signal processing algorithms, allowed reaching the accuracy of 0.2°, while the measurement time was less than 100 seconds.

16 April 2018 in IEEE Sensors Letters
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Journal Article
Closed access
EAEvgeny A. Anikin
Evgeny A. Anikin
EEEgor Egorov
Egor Egorov
VAVadim Михайлович Agafonov
Vadim Михайлович Agafonov
In seismic applications, the molecular-electronic transfer (MET) sensors are considered as ones of the most promising instruments for the measurements of seismic-associated signals. The subject of the presented study is the MET (molecular-electronic transfer) angular motion sensor self-noise dependence on the area of the electrodes of the electrochemical signal converting cell. Sensors with different area of the signal conditional cell electrodes have been produced and their self-noise at frequencies <100 Hz has been studied. The results show that sensors with a larger area of electrodes have lower self-noise at low frequencies and larger self-noise at high frequencies. It agrees with the assumption that uncorrelated small-scale hydrodynamic velocity fluctuations are responsible for the sensors convective noise. The results of the study allowed to refine the MET sensors self-noise model and refined and revealed the directions of further improvement of the MET angular sensors performance

11 August 2011 in Journal of Electroanalytical Chemistry
Verified
Journal Article
Closed access
ZSZhanyu Sun
Zhanyu Sun
VAVadim Михайлович Agafonov
Vadim Михайлович Agafonov
EEEgor Egorov
Egor Egorov