Design of an Adaptive Calibration Technique Using Data Fusion for Pressure Measurement

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

Abstract

This paper proposes design of adaptive calibration technique to eliminate the interference of noise in pressure measurement. Proposed paper objective is to design a signal-conditioning technique that measures the pressure accurately, even with variations in environmental parameters like humidity and temperature. Output of the capacitance pressure sensor is converted to voltage using the data conversion circuits. Distributed blackboard data fusion framework is used for creating an adaptive calibration technique to measure pressure accurately without interference of environmental parameters like temperature and humidity. Results of the proposed measurement technique are analyzed to evaluate the performance of proposed technique. Obtained results evidence the effective implementation of proposed calibration technique.

Original languageEnglish
Title of host publicationAdvances in Communication, Devices and Networking - Proceedings of ICCDN 2017
PublisherSpringer Verlag
Pages817-826
Number of pages10
ISBN (Print)9789811079009
DOIs
Publication statusPublished - 01-01-2018
EventInternational Conference on Communication, Devices and Networking, ICCDN 2017 - Majitar, India
Duration: 03-06-201704-06-2017

Publication series

NameLecture Notes in Electrical Engineering
Volume462
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Communication, Devices and Networking, ICCDN 2017
CountryIndia
CityMajitar
Period03-06-1704-06-17

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All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Santhosh, K. V., & Navada, B. R. (2018). Design of an Adaptive Calibration Technique Using Data Fusion for Pressure Measurement. In Advances in Communication, Devices and Networking - Proceedings of ICCDN 2017 (pp. 817-826). (Lecture Notes in Electrical Engineering; Vol. 462). Springer Verlag. https://doi.org/10.1007/978-981-10-7901-6_88