An intelligent temperature measurement technique using J type thermocouple with an optimal neural network

K. V. Santhosh, B. K. Roy

Research output: Contribution to specialist publicationArticle

1 Citation (Scopus)

Abstract

This paper aims at designing an intelligent temperature measurement technique using J type thermocouple with an optimized neural network model. The objectives of this work are to (i) extend the linearity range of measurement to 100 % of the full scale, (ii) make the measurement system adaptive of variation in temperature coefficients and (iii) to achieve (i) and (ii) using optimal neural network. The output of thermocouple is in mV range. A suitable data conversion circuit is used to convert mV to voltage and to overcome the problem of interference of noise and open thermocouple detection. A suitable optimal Artificial Neural Network (ANN) block is added in cascade to data conversion unit. This arrangement helps to linearise the overall system and make it adaptive of variations in temperature coefficients. Since, the proposed intelligent temperature measurement technique produces adaptive of variation in physical properties of thermocouple. It avoids the requirement of repeated calibrations every time the thermocouple is replaced. Simulation results show that proposed measurement technique satisfies the objectives.

Original languageEnglish
Pages6-14
Number of pages9
Volume147
No.12
Specialist publicationSensors and Transducers
Publication statusPublished - 2012
Externally publishedYes

Fingerprint

Thermocouples
Temperature measurement
Neural networks
Adaptive systems
Physical properties
Calibration
Temperature
Networks (circuits)
Electric potential

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

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An intelligent temperature measurement technique using J type thermocouple with an optimal neural network. / Santhosh, K. V.; Roy, B. K.

In: Sensors and Transducers, Vol. 147, No. 12, 2012, p. 6-14.

Research output: Contribution to specialist publicationArticle

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