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A Clearance-Ratio Framework for Predicting Nonlinearity in MEMS Capacitive Pressure Sensors

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Access
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet IEEE Access
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A Clearance-Ratio Framework for Predicting Nonlinearity in MEMS Capacitive Pressure Sensors
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title A Clearance-Ratio Framework for Predicting Nonlinearity in MEMS Capacitive Pressure Sensors
title_auth A Clearance-Ratio Framework for Predicting Nonlinearity in MEMS Capacitive Pressure Sensors
title_full A Clearance-Ratio Framework for Predicting Nonlinearity in MEMS Capacitive Pressure Sensors
title_fullStr A Clearance-Ratio Framework for Predicting Nonlinearity in MEMS Capacitive Pressure Sensors
title_full_unstemmed A Clearance-Ratio Framework for Predicting Nonlinearity in MEMS Capacitive Pressure Sensors
title_short A Clearance-Ratio Framework for Predicting Nonlinearity in MEMS Capacitive Pressure Sensors
title_sort a clearance-ratio framework for predicting nonlinearity in mems capacitive pressure sensors
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11424410