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Finite element modelling of a piezoelectric accelerometer for apparent acceleration measurement. / Gupalov, Valery; Kukaev, Alexander; Venediktov, Vladimir.

SSIP 2019 - 2019 2nd International Conference on Sensors, Signal and Image Processing. Institute for Color Science and Technology (ICST), 2019. p. 82-85 (PervasiveHealth: Pervasive Computing Technologies for Healthcare).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research

Harvard

Gupalov, V, Kukaev, A & Venediktov, V 2019, Finite element modelling of a piezoelectric accelerometer for apparent acceleration measurement. in SSIP 2019 - 2019 2nd International Conference on Sensors, Signal and Image Processing. PervasiveHealth: Pervasive Computing Technologies for Healthcare, Institute for Color Science and Technology (ICST), pp. 82-85, 2nd International Conference on Sensors, Signal and Image Processing, SSIP 2019, Prague, Czech Republic, 8/10/19. https://doi.org/10.1145/3365245.3365259

APA

Gupalov, V., Kukaev, A., & Venediktov, V. (2019). Finite element modelling of a piezoelectric accelerometer for apparent acceleration measurement. In SSIP 2019 - 2019 2nd International Conference on Sensors, Signal and Image Processing (pp. 82-85). (PervasiveHealth: Pervasive Computing Technologies for Healthcare). Institute for Color Science and Technology (ICST). https://doi.org/10.1145/3365245.3365259

Vancouver

Gupalov V, Kukaev A, Venediktov V. Finite element modelling of a piezoelectric accelerometer for apparent acceleration measurement. In SSIP 2019 - 2019 2nd International Conference on Sensors, Signal and Image Processing. Institute for Color Science and Technology (ICST). 2019. p. 82-85. (PervasiveHealth: Pervasive Computing Technologies for Healthcare). https://doi.org/10.1145/3365245.3365259

Author

Gupalov, Valery ; Kukaev, Alexander ; Venediktov, Vladimir. / Finite element modelling of a piezoelectric accelerometer for apparent acceleration measurement. SSIP 2019 - 2019 2nd International Conference on Sensors, Signal and Image Processing. Institute for Color Science and Technology (ICST), 2019. pp. 82-85 (PervasiveHealth: Pervasive Computing Technologies for Healthcare).

BibTeX

@inproceedings{d223d4fc4d55446096f658b4cc609975,
title = "Finite element modelling of a piezoelectric accelerometer for apparent acceleration measurement",
abstract = "In this paper, a design concept of a microscale piezo accelerometer capable of measuring nearly constant signals is proposed. Taking the advantages of both MEMS and piezo devices it provides brilliant opportunities for the development of inertial grade navigation systems. By utilizing the novel excitation method the sensors working point is pushed to the area of higher frequencies which provides a great increase in the sensors bandwidth. A finite element modelling was performed to prove the concept, find optimal design and its potential sensitivity characteristics. In case of a 2 cm length needle-like sensing element it provides the sensitivity about 36 mV/g with a perfect linearity and low cross-sensitivity.",
keywords = "Accelerometer, Apparent acceleration, Finite element modelling, Navigation systems",
author = "Valery Gupalov and Alexander Kukaev and Vladimir Venediktov",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 2nd International Conference on Sensors, Signal and Image Processing, SSIP 2019 ; Conference date: 08-10-2019 Through 10-10-2019",
year = "2019",
month = oct,
day = "8",
doi = "10.1145/3365245.3365259",
language = "English",
series = "PervasiveHealth: Pervasive Computing Technologies for Healthcare",
publisher = "Institute for Color Science and Technology (ICST)",
pages = "82--85",
booktitle = "SSIP 2019 - 2019 2nd International Conference on Sensors, Signal and Image Processing",
address = "Iran, Islamic Republic of",

}

RIS

TY - GEN

T1 - Finite element modelling of a piezoelectric accelerometer for apparent acceleration measurement

AU - Gupalov, Valery

AU - Kukaev, Alexander

AU - Venediktov, Vladimir

N1 - Publisher Copyright: © 2019 Association for Computing Machinery.

PY - 2019/10/8

Y1 - 2019/10/8

N2 - In this paper, a design concept of a microscale piezo accelerometer capable of measuring nearly constant signals is proposed. Taking the advantages of both MEMS and piezo devices it provides brilliant opportunities for the development of inertial grade navigation systems. By utilizing the novel excitation method the sensors working point is pushed to the area of higher frequencies which provides a great increase in the sensors bandwidth. A finite element modelling was performed to prove the concept, find optimal design and its potential sensitivity characteristics. In case of a 2 cm length needle-like sensing element it provides the sensitivity about 36 mV/g with a perfect linearity and low cross-sensitivity.

AB - In this paper, a design concept of a microscale piezo accelerometer capable of measuring nearly constant signals is proposed. Taking the advantages of both MEMS and piezo devices it provides brilliant opportunities for the development of inertial grade navigation systems. By utilizing the novel excitation method the sensors working point is pushed to the area of higher frequencies which provides a great increase in the sensors bandwidth. A finite element modelling was performed to prove the concept, find optimal design and its potential sensitivity characteristics. In case of a 2 cm length needle-like sensing element it provides the sensitivity about 36 mV/g with a perfect linearity and low cross-sensitivity.

KW - Accelerometer

KW - Apparent acceleration

KW - Finite element modelling

KW - Navigation systems

UR - http://www.scopus.com/inward/record.url?scp=85077956099&partnerID=8YFLogxK

U2 - 10.1145/3365245.3365259

DO - 10.1145/3365245.3365259

M3 - Conference contribution

AN - SCOPUS:85077956099

T3 - PervasiveHealth: Pervasive Computing Technologies for Healthcare

SP - 82

EP - 85

BT - SSIP 2019 - 2019 2nd International Conference on Sensors, Signal and Image Processing

PB - Institute for Color Science and Technology (ICST)

T2 - 2nd International Conference on Sensors, Signal and Image Processing, SSIP 2019

Y2 - 8 October 2019 through 10 October 2019

ER -

ID: 88442415