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Analysis and Implementation of a Resistance Temperature Estimator Based on Bi-Polynomial Least Squares Method and Discrete Kalman Filter

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

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Analysis and Implementation of a Resistance Temperature Estimator Based on Bi-Polynomial Least Squares Method and Discrete Kalman Filter. / Schimmack, Manuel; Rehbein, Jan Philip; Mercorelli, Paolo.
2020 24th International Conference on System Theory, Control and Computing (ICSTCC) : October 8-10, 2020 Sinaia, Romania, Proceedings . Hrsg. / Lucian-Florentin Bărbulescu. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 2020. S. 614-618 9259767.

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Harvard

Schimmack, M, Rehbein, JP & Mercorelli, P 2020, Analysis and Implementation of a Resistance Temperature Estimator Based on Bi-Polynomial Least Squares Method and Discrete Kalman Filter. in L-F Bărbulescu (Hrsg.), 2020 24th International Conference on System Theory, Control and Computing (ICSTCC) : October 8-10, 2020 Sinaia, Romania, Proceedings ., 9259767, IEEE - Institute of Electrical and Electronics Engineers Inc., Piscataway, S. 614-618, 24th International Conference on System Theory, Control and Computing - ICSTCC 2020, Virtual, Sinaia, Rumänien, 08.10.20. https://doi.org/10.1109/ICSTCC50638.2020.9259767

APA

Schimmack, M., Rehbein, J. P., & Mercorelli, P. (2020). Analysis and Implementation of a Resistance Temperature Estimator Based on Bi-Polynomial Least Squares Method and Discrete Kalman Filter. In L.-F. Bărbulescu (Hrsg.), 2020 24th International Conference on System Theory, Control and Computing (ICSTCC) : October 8-10, 2020 Sinaia, Romania, Proceedings (S. 614-618). Artikel 9259767 IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSTCC50638.2020.9259767

Vancouver

Schimmack M, Rehbein JP, Mercorelli P. Analysis and Implementation of a Resistance Temperature Estimator Based on Bi-Polynomial Least Squares Method and Discrete Kalman Filter. in Bărbulescu LF, Hrsg., 2020 24th International Conference on System Theory, Control and Computing (ICSTCC) : October 8-10, 2020 Sinaia, Romania, Proceedings . Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc. 2020. S. 614-618. 9259767 doi: 10.1109/ICSTCC50638.2020.9259767

Bibtex

@inbook{b3695f3690bc4bd7b589b9229b1d5ebd,
title = "Analysis and Implementation of a Resistance Temperature Estimator Based on Bi-Polynomial Least Squares Method and Discrete Kalman Filter",
abstract = "This paper presents a bi-polynomial least squares approximation method (LSM) related to the Callendar-Van Dusen (CVD) model to analyse the estimation accuracy. A Kalman filter (KF) is used as a possible alternative for estimations in the presence of noise in the measurements. It is shown that the KF obtained a higher estimation accuracy of the sum of squared residuals (SSR) index with respect to the least squares method (LSM), which minimises the squared estimate of errors (SSE). Thanks to these results, it is possible to choose between LSM or the KF for an adequate fitting using SSE or SSR. A case study is presented, in which this method is shown together with the experimental analysis of the implemented algorithm.",
keywords = "Callendar-Van Dusen model, Kalman filter, Least Squares Approximation method, Temperature sensor, Engineering",
author = "Manuel Schimmack and Rehbein, {Jan Philip} and Paolo Mercorelli",
year = "2020",
month = oct,
day = "8",
doi = "10.1109/ICSTCC50638.2020.9259767",
language = "English",
isbn = "978-1-7281-9810-1",
pages = "614--618",
editor = "Lucian-Florentin B{\u a}rbulescu",
booktitle = "2020 24th International Conference on System Theory, Control and Computing (ICSTCC)",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "24th International Conference on System Theory, Control and Computing - ICSTCC 2020, ICSTCC2020 ; Conference date: 08-10-2020 Through 10-10-2020",
url = "http://ace.ucv.ro/icstcc2020/, http://ace.ucv.ro/icstcc2020/",

}

RIS

TY - CHAP

T1 - Analysis and Implementation of a Resistance Temperature Estimator Based on Bi-Polynomial Least Squares Method and Discrete Kalman Filter

AU - Schimmack, Manuel

AU - Rehbein, Jan Philip

AU - Mercorelli, Paolo

N1 - Conference code: 24

PY - 2020/10/8

Y1 - 2020/10/8

N2 - This paper presents a bi-polynomial least squares approximation method (LSM) related to the Callendar-Van Dusen (CVD) model to analyse the estimation accuracy. A Kalman filter (KF) is used as a possible alternative for estimations in the presence of noise in the measurements. It is shown that the KF obtained a higher estimation accuracy of the sum of squared residuals (SSR) index with respect to the least squares method (LSM), which minimises the squared estimate of errors (SSE). Thanks to these results, it is possible to choose between LSM or the KF for an adequate fitting using SSE or SSR. A case study is presented, in which this method is shown together with the experimental analysis of the implemented algorithm.

AB - This paper presents a bi-polynomial least squares approximation method (LSM) related to the Callendar-Van Dusen (CVD) model to analyse the estimation accuracy. A Kalman filter (KF) is used as a possible alternative for estimations in the presence of noise in the measurements. It is shown that the KF obtained a higher estimation accuracy of the sum of squared residuals (SSR) index with respect to the least squares method (LSM), which minimises the squared estimate of errors (SSE). Thanks to these results, it is possible to choose between LSM or the KF for an adequate fitting using SSE or SSR. A case study is presented, in which this method is shown together with the experimental analysis of the implemented algorithm.

KW - Callendar-Van Dusen model

KW - Kalman filter

KW - Least Squares Approximation method

KW - Temperature sensor

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85097973712&partnerID=8YFLogxK

U2 - 10.1109/ICSTCC50638.2020.9259767

DO - 10.1109/ICSTCC50638.2020.9259767

M3 - Article in conference proceedings

AN - SCOPUS:85097973712

SN - 978-1-7281-9810-1

SP - 614

EP - 618

BT - 2020 24th International Conference on System Theory, Control and Computing (ICSTCC)

A2 - Bărbulescu, Lucian-Florentin

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

CY - Piscataway

T2 - 24th International Conference on System Theory, Control and Computing - ICSTCC 2020

Y2 - 8 October 2020 through 10 October 2020

ER -

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DOI

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