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A Soft Calibration Technique for Thermistor Using Support Vector Machine

  • K. V. Santhosh
  • B. K. Roy
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 258)

Abstract

This paper aims at designing an calibration technique for temperature measurement using support vector machine. The objectives of the present work are: (i) to extend the linearity range of measurement to 100 % of input range, and (ii) to make measurement technique adaptive to variations in physical parameters of thermistor like reference resistance and temperature coefficient. Support vector machine (SVM) is trained to achieve the proposed objectives. The proposed measurement technique is tested considering variations in physical parameters of thermistor like reference resistance \( \left( {R_{o} } \right) \) and temperature coefficient. Results show that the proposed intelligent technique has fulfilled the set objectives.

Keywords

Calibration Thermistor SVM Adaption Self-retirement 

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Copyright information

© Springer India 2014

Authors and Affiliations

  1. 1.Department of Instrumentation and Control EngineeringManipal Institute of TechnologyManipalIndia
  2. 2.Department of Electrical EngineeringNational Institute of Technology SilcharSilcharIndia

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