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Quasi-Distributed Resistive Sensor with Tree Structure

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Optoelectronics, Instrumentation and Data Processing Aims and scope

Abstract

The paper proposes a quasi-distributed resistive sensor with a tree structure. The proposed sensor makes it possible to measure the spatial distribution of physical quantities when switching measuring circuits only to external terminals. It is shown that the use of a tree structure provides high accuracy with low computations costs. An experimental and model study of the proposed quasi-distributed sensor has been carried out.

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REFERENCES

  1. Z. Ding, C. Wang, K. Liu, J. Jinag, D. Yang, G. Pan, Z. Pu, and T. Liu, ‘‘Distributed optical fiber sensors based on optical frequency domain reflectometry: A review,’’ Sensors 18, 1072 (2018). https://doi.org/10.3390/s18041072

    Article  ADS  Google Scholar 

  2. O. G. Morozov and A. J. Sakhabutdinov, ‘‘Addressed fiber Bragg structures in quasi-distributed microwave-photonic sensor systems,’’ Comput. Opt. 43, 535–543 (2019). https://doi.org/10.18287/2412-6179-2019-43-4-535-543

    Article  ADS  Google Scholar 

  3. Yu. K. Evdokimov and S. Martemianov, ‘‘Continuously distributed sensors for steady-state temperature profile measurements: main principles and numerical algorithm,’’ Int. J. Heat Mass Transfer 47, 329–340 (2004). https://doi.org/10.1016/j.ijheatmasstransfer.2003.06.002

    Article  MATH  Google Scholar 

  4. Yu. K. Evdokimov, Kh. S. A. Mohammed, and L. D. Khramov, ‘‘Semiconductor one-dimensional distributed sensor of the temperature field: Numerical measurement algorithm and its program implementation,’’ Vestn. Kazan. State Tech. Univ. im A. N. Tupoleva 74 (4), 118–123 (2018).

    Google Scholar 

  5. Yu. K. Evdokimov and Ya. A. Parts, ‘‘Quasi-distributed piezoresonance sensors in industrial systems of temperature measurement,’’ Meas. World, No. 3, 13–20 (2010).

    Google Scholar 

  6. F. Vidal-Verdú, Ó. Oballe-Peinado, J. A. Sánchez-Durán, J. Castellanos-Ramos, and R. Navas-González, ‘‘Three realizations and comparison of hardware for piezoresistive tactile sensors,’’ Sensors 11, 3249–3266 (2011). https://doi.org/10.3390/s110303249

    Article  ADS  Google Scholar 

  7. L. Shu, X. Tao, and D. D. Feng, ‘‘A new approach for readout of resistive sensor arrays for wearable electronic applications,’’ IEEE Sens. J. 15, 442–452 (2015). https://doi.org/10.1109/JSEN.2014.2333518

    Article  ADS  Google Scholar 

  8. E. Denisov, N. Adiutantov, Yu. K. Evdokimov, A. Salakhova, G. Timergalina, T. Nikishin, S. Martemianov, and A. Thomas, ‘‘Quasi-distributed resistive sensor for steady-state field measurements,’’ Proc. of the Int. Siberian Conf. on Control and Communications (SIBCON), Moscow, Russia, 2016, pp. 1–5. https://doi.org/10.1109/SIBCON.2016.7491824

  9. B. Zhou, Resistive pressure force sensor matrix for wearable and ubiquitous computing, Master Thesis (Kaiserslautern, 2013).

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Funding

This work was carried out with the financial support of the Ministry of Science and Higher Education of the Russian Federation (agreement no. 075-03-2020-051, topic no. fzsu-2020-0020).

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Correspondence to I. D. Shafigullin.

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Translated by T. N. Sokolova

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Denisov, E.S., Shafigullin, I.D. & Evdokimov, Y.K. Quasi-Distributed Resistive Sensor with Tree Structure. Optoelectron.Instrument.Proc. 57, 216–219 (2021). https://doi.org/10.3103/S8756699021020059

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  • DOI: https://doi.org/10.3103/S8756699021020059

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