Soft calibration technique with SVM for intelligent temperature measurement using thermocouple

K. V. Santhosh; B. K. Roy

doi:10.1109/ICAECC.2014.7002380

Soft calibration technique with SVM for intelligent temperature measurement using thermocouple

K. V. Santhosh, B. K. Roy

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

3 Citations (Scopus)

Abstract

An adaptive soft calibration circuit using the technique of Support Vector Machine (SVM) is reported in this paper for temperature measurement using thermocouple. The objectives of the present work are: (i) to extend linearity range of measurement to 100% of full scale input range, (ii) to make measurement technique adaptive to variations in temperature coefficients (different type of thermocouple). SVM model is trained to map output voltage of data conversion unit to produce linear characteristics with input temperature and independent of variations in temperature coefficients all within certain range. Further, the proposed technique is tested with simulated data. Fulfilment of objectives set was tested by simulation results, and the results shows a root mean square of percentage error in terms of 0.34%.

Original language	English
Title of host publication	2014 International Conference on Advances in Electronics, Computers and Communications, ICAECC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479954964
DOIs	https://doi.org/10.1109/ICAECC.2014.7002380
Publication status	Published - 06-01-2015
Event	2014 International Conference on Advances in Electronics, Computers and Communications, ICAECC 2014 - Bangalore, India Duration: 10-10-2014 → 11-10-2014

Conference

Conference	2014 International Conference on Advances in Electronics, Computers and Communications, ICAECC 2014
Country/Territory	India
City	Bangalore
Period	10-10-14 → 11-10-14

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Electrical and Electronic Engineering
Computational Theory and Mathematics

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10.1109/ICAECC.2014.7002380

Cite this

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title = "Soft calibration technique with SVM for intelligent temperature measurement using thermocouple",

abstract = "An adaptive soft calibration circuit using the technique of Support Vector Machine (SVM) is reported in this paper for temperature measurement using thermocouple. The objectives of the present work are: (i) to extend linearity range of measurement to 100% of full scale input range, (ii) to make measurement technique adaptive to variations in temperature coefficients (different type of thermocouple). SVM model is trained to map output voltage of data conversion unit to produce linear characteristics with input temperature and independent of variations in temperature coefficients all within certain range. Further, the proposed technique is tested with simulated data. Fulfilment of objectives set was tested by simulation results, and the results shows a root mean square of percentage error in terms of 0.34%.",

author = "Santhosh, {K. V.} and Roy, {B. K.}",

year = "2015",

month = jan,

day = "6",

doi = "10.1109/ICAECC.2014.7002380",

language = "English",

booktitle = "2014 International Conference on Advances in Electronics, Computers and Communications, ICAECC 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "2014 International Conference on Advances in Electronics, Computers and Communications, ICAECC 2014 ; Conference date: 10-10-2014 Through 11-10-2014",

}

Santhosh, KV & Roy, BK 2015, Soft calibration technique with SVM for intelligent temperature measurement using thermocouple. in 2014 International Conference on Advances in Electronics, Computers and Communications, ICAECC 2014., 7002380, Institute of Electrical and Electronics Engineers Inc., 2014 International Conference on Advances in Electronics, Computers and Communications, ICAECC 2014, Bangalore, India, 10-10-14. https://doi.org/10.1109/ICAECC.2014.7002380

Soft calibration technique with SVM for intelligent temperature measurement using thermocouple. / Santhosh, K. V.; Roy, B. K.
2014 International Conference on Advances in Electronics, Computers and Communications, ICAECC 2014. Institute of Electrical and Electronics Engineers Inc., 2015. 7002380.

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

TY - GEN

T1 - Soft calibration technique with SVM for intelligent temperature measurement using thermocouple

AU - Santhosh, K. V.

AU - Roy, B. K.

PY - 2015/1/6

Y1 - 2015/1/6

N2 - An adaptive soft calibration circuit using the technique of Support Vector Machine (SVM) is reported in this paper for temperature measurement using thermocouple. The objectives of the present work are: (i) to extend linearity range of measurement to 100% of full scale input range, (ii) to make measurement technique adaptive to variations in temperature coefficients (different type of thermocouple). SVM model is trained to map output voltage of data conversion unit to produce linear characteristics with input temperature and independent of variations in temperature coefficients all within certain range. Further, the proposed technique is tested with simulated data. Fulfilment of objectives set was tested by simulation results, and the results shows a root mean square of percentage error in terms of 0.34%.

AB - An adaptive soft calibration circuit using the technique of Support Vector Machine (SVM) is reported in this paper for temperature measurement using thermocouple. The objectives of the present work are: (i) to extend linearity range of measurement to 100% of full scale input range, (ii) to make measurement technique adaptive to variations in temperature coefficients (different type of thermocouple). SVM model is trained to map output voltage of data conversion unit to produce linear characteristics with input temperature and independent of variations in temperature coefficients all within certain range. Further, the proposed technique is tested with simulated data. Fulfilment of objectives set was tested by simulation results, and the results shows a root mean square of percentage error in terms of 0.34%.

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U2 - 10.1109/ICAECC.2014.7002380

DO - 10.1109/ICAECC.2014.7002380

M3 - Conference contribution

BT - 2014 International Conference on Advances in Electronics, Computers and Communications, ICAECC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 International Conference on Advances in Electronics, Computers and Communications, ICAECC 2014

Y2 - 10 October 2014 through 11 October 2014

ER -

Soft calibration technique with SVM for intelligent temperature measurement using thermocouple

Abstract

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All Science Journal Classification (ASJC) codes

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