Self-calibrating Thermocouple Using Neural Network Algorithm for Improved Sensitivity and Fault Identification

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Automated calibration of temperature measurement technique is proposed in this work. The objective of the work is to design a technique which will be able to automatically calibrate the temperature sensor (thermocouple) output to obtain higher sensitivity and can also detect fault in sensor if any. The signal from the thermocouple is amplified using an instrumentation amplifier. The output of instrumentation amplifier is acquired on to the system using a general-purpose voltage data acquisition card (USB 6008). Based on user-defined range, the sensor output is calibrated to produce an output which has the highest sensitivity using neural network algorithms. Designed support vector algorithm is also trained to identify fault in sensor. The trained system is tested for evaluating its performance with both simulated and practical data. Results produced show successful achievement of set objective.

Original languageEnglish
Title of host publicationSmart Computing Paradigms
Subtitle of host publicationNew Progresses and Challenges - Proceedings of ICACNI 2018
EditorsAtilla Elçi, Pankaj Kumar Sa, Chirag N. Modi, Gustavo Olague, Manmath N. Sahoo, Sambit Bakshi
PublisherSpringer Paris
Pages141-147
Number of pages7
ISBN (Print)9789811396793
DOIs
Publication statusPublished - 01-01-2020
Event6th International Conference on Advanced Computing, Networking, and Informatics, ICACNI 2018 - Silchar, India
Duration: 04-06-201806-06-2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume767
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference6th International Conference on Advanced Computing, Networking, and Informatics, ICACNI 2018
CountryIndia
CitySilchar
Period04-06-1806-06-18

Fingerprint

Thermocouples
Neural networks
Sensors
Temperature sensors
Temperature measurement
Data acquisition
Calibration
Electric potential

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Santhosh, K. V. (2020). Self-calibrating Thermocouple Using Neural Network Algorithm for Improved Sensitivity and Fault Identification. In A. Elçi, P. K. Sa, C. N. Modi, G. Olague, M. N. Sahoo, & S. Bakshi (Eds.), Smart Computing Paradigms: New Progresses and Challenges - Proceedings of ICACNI 2018 (pp. 141-147). (Advances in Intelligent Systems and Computing; Vol. 767). Springer Paris. https://doi.org/10.1007/978-981-13-9680-9_11
Santhosh, K. V. / Self-calibrating Thermocouple Using Neural Network Algorithm for Improved Sensitivity and Fault Identification. Smart Computing Paradigms: New Progresses and Challenges - Proceedings of ICACNI 2018. editor / Atilla Elçi ; Pankaj Kumar Sa ; Chirag N. Modi ; Gustavo Olague ; Manmath N. Sahoo ; Sambit Bakshi. Springer Paris, 2020. pp. 141-147 (Advances in Intelligent Systems and Computing).
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Santhosh, KV 2020, Self-calibrating Thermocouple Using Neural Network Algorithm for Improved Sensitivity and Fault Identification. in A Elçi, PK Sa, CN Modi, G Olague, MN Sahoo & S Bakshi (eds), Smart Computing Paradigms: New Progresses and Challenges - Proceedings of ICACNI 2018. Advances in Intelligent Systems and Computing, vol. 767, Springer Paris, pp. 141-147, 6th International Conference on Advanced Computing, Networking, and Informatics, ICACNI 2018, Silchar, India, 04-06-18. https://doi.org/10.1007/978-981-13-9680-9_11

Self-calibrating Thermocouple Using Neural Network Algorithm for Improved Sensitivity and Fault Identification. / Santhosh, K. V.

Smart Computing Paradigms: New Progresses and Challenges - Proceedings of ICACNI 2018. ed. / Atilla Elçi; Pankaj Kumar Sa; Chirag N. Modi; Gustavo Olague; Manmath N. Sahoo; Sambit Bakshi. Springer Paris, 2020. p. 141-147 (Advances in Intelligent Systems and Computing; Vol. 767).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Santhosh KV. Self-calibrating Thermocouple Using Neural Network Algorithm for Improved Sensitivity and Fault Identification. In Elçi A, Sa PK, Modi CN, Olague G, Sahoo MN, Bakshi S, editors, Smart Computing Paradigms: New Progresses and Challenges - Proceedings of ICACNI 2018. Springer Paris. 2020. p. 141-147. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-981-13-9680-9_11