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Jamal Ghasemi

Jamal Ghasemi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId:
Faculty: Faculty of Technology and Engineering
Address:
Phone: 01135302902

Research

Title
A New Structure for Direct Measurement of Temperature Based on Negative Temperature Coefficient Thermistor and Adaptive Neuro-fuzzy Inference System
Type
JournalPaper
Keywords
Temperature, Negative Temperature Coefficient Thermistor, Self-heating Modeling, Adaptive Neuro-fuzzy Inference System
Year
2018
Journal International Journal of Engineering Transactions A: Basics
DOI
Researchers Jamal Ghasemi ، Mohammad Mehdipour ، Jalil Rasekhi ، Khalil Gorgani Firouzjah

Abstract

Thermistors are very commonly used for narrow temperature-range high-resolution applications, such as in medicine, calorimetry, and near ambient temperature measurements. In particular, Negative Temperature Coefficient (NTC) thermistor is very inexpensive and highly sensitive, whose sensing temperature range and sensitivity are highly limited due to the intrinsic nonlinearity and self-heating properties of NTC thermistor at high operation currents. In this research, a new structure is proposed based on adaptive neuro-fuzzy system for the modeling of sensor nonlinearity. Apart from taking self-heating phenomenon of NTC thermistor sensor, the proposed structure also measures temperature directly, without any linearizing circuitry. Neuro-fuzzy network is trained and tested through data produced in the Laboratory environment. Examination of the proposed method on test data achieved a mean squared error of 0.0195, which is considered as a significant accomplishment.