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A New Structure For Direct Measurement of Temperature Based on Negative Temperature Coefficient Thermistor and Adaptive Neuro-Fuzzy Inference System
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نویسنده
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Ghasemi J. ,Mehdipoor M. ,Rasekhi J. ,Gorgani Firouzjah K.
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منبع
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International Journal Of Engineering - 2018 - دوره : 31 - شماره : 10 - صفحه:1682 -1688
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چکیده
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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.
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کلیدواژه
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Temperature ,Negative Temperature Coefficient Thermistor ,Self-Heating ,Modeling ,Adaptive Neuro-Fuzzy Inference System
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آدرس
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University Of Mazandaran, Faculty Of Engineering And Technology, Iran, Amol Institution Of Higher Education, Department Of Electrical Engineering, Iran, Babol Noshirvani University Of Technology, Faculty Of Electrical And Computer Engineering, Iran, University Of Mazandaran, Faculty Of Engineering And Technology, Iran
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Authors
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