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

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

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 SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

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 -

DOI

Zuletzt angesehen

Publikationen

  1. »HOW TO MAKE YOUR OWN SAMPLES«
  2. Harvesting information from captions for weakly supervised semantic segmentation
  3. Fast, Fully Automated Analysis of Voriconazole from Serum by LC-LC-ESI-MS-MS with Parallel Column-Switching Technique
  4. Analysis And Comparison Of Dispatching RuleBased Scheduling In Dual-Resource Constrained Shop-Floor Scenarios
  5. Closed-form Solution for the Direct Kinematics Problem of the Planar 3-RPR Parallel Mechanism
  6. Exploration strategies, performance, and error consequences when learning a complex computer task
  7. Lessons learned for spatial modelling of ecosystem services in support of ecosystem accounting
  8. Construct Objectification and De-Objectification in Organization Theory
  9. Holistic and scalable ranking of RDF data
  10. Lyapunov Convergence Analysis for Asymptotic Tracking Using Forward and Backward Euler Approximation of Discrete Differential Equations
  11. Contextual movement models based on normalizing flows
  12. Global Finite-Time Stabilization of Planar Linear Systems With Actuator Saturation
  13. Analyzing User Journey Data In Digital Health: Predicting Dropout From A Digital CBT-I Intervention
  14. Web-scale extension of RDF knowledge bases from templated websites
  15. Clause identification using entropy guided transformation learning
  16. Experimentally established correlation of friction surfacing process temperature and deposit geometry
  17. Interpreting Strings, Weaving Threads
  18. Generating Energy Optimal Powertrain Force Trajectories with Dynamic Constraints
  19. Analyzing math teacher students' sensitivity for aspects of the complexity of problem oriented mathematics instruction
  20. FaST: A linear time stack trace alignment heuristic for crash report deduplication
  21. What does it mean to be sensitive for the complexity of (problem oriented) teaching?
  22. Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies
  23. A new way of assessing the interaction of a metallic phase precursor with a modified oxide support substrate as a source of information for predicting metal dispersion
  24. Computing regression statistics from grouped data
  25. Performance analysis for loss systems with many subscribers and concurrent services
  26. Stimulating Computing
  27. TARGET SETTING FOR OPERATIONAL PERFORMANCE IMPROVEMENTS - STUDY CASE -
  28. Integration of laser scanning and projection speckle pattern for advanced pipeline monitoring
  29. Comments on "Tracking Control of Robotic Manipulators With Uncertain Kinematics and Dynamics"
  30. Analysis of long-term statistical data of cobalt flows in the EU
  31. Simulation based optimization of lot sizes for opposing logistic objectives
  32. Gaussian processes for dispatching rule selection in production scheduling