Support vector machine based adaptive calibration technique for resistance temperature detector

K. V. Santhosh, B. K. Roy

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper proposes an adaptive calibration technique for temperature measurement using Resistance Temperature Detector (RTD) sensor based on Support Vector Machine (SVM). In practise, RTD has nonlinear response characteristics, and its output varies with variation in RTD. Support vector machine approach is used to design an adaptive calibration technique which (i) produces the output to have a linear mapping relationship to achieve RTD nonlinearity compensation, and (ii) to produce output adaptive to variations in temperature coefficients of RTD and reference resistance. The simulation results show that the proposed technique has fulfilled its set objectives. Since root mean square of percentage error is found to be 0.0015.

Original languageEnglish
Pages (from-to)546-551
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume3
Issue numberPART 1
DOIs
Publication statusPublished - 2014

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Support vector machines
Calibration
Detectors
Temperature
Temperature measurement
Sensors

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

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Support vector machine based adaptive calibration technique for resistance temperature detector. / Santhosh, K. V.; Roy, B. K.

In: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 3, No. PART 1, 2014, p. 546-551.

Research output: Contribution to journalArticle

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