Development of a Wireless Pressure Transmitter with Diagnostics

Ekaterina Tugova, Manus Henry, Oleg Y. Bushuev, Maria Motorina

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Abstract

The Industrial Internet of Things (IIoT) and Industry 4.0 require new intelligent sensor designs with enhanced functionality, including local diagnostics. In previous work, we have experimentally investigated an important fault mode of a commercial pressure sensor, working in partnership with the sensor manufacturer who has provided modified sensors with calibrated levels of the fault condition. We have further developed simple signal processing techniques to detect the fault condition, based on a low cost noise analysis. In the current paper, we describe the development of a prototype wireless pressure transmitter. This transmitter monitors the analogue output of the pressure sensor, and applies the diagnostic procedures in real time. The resulting pressure measurement in engineering units, together with diagnostic information, are both communicated wirelessly to a receiving system.
Original languageEnglish
Title of host publicationProceedings - 2020 Global Smart Industry Conference, GloSIC 2020
PublisherIEEE
Pages204-209
Number of pages6
ISBN (Electronic)978-1-7281-8075-5
DOIs
Publication statusPublished - 18 Nov 2020
Event2020 Global Smart Industry Conference - South Ural State University, Chelyabinsk, Russian Federation
Duration: 17 Nov 202019 Nov 2020
https://glosic.susu.ru/

Publication series

NameProceedings - 2020 Global Smart Industry Conference, GloSIC 2020

Conference

Conference2020 Global Smart Industry Conference
Abbreviated titleGloSIC 2020
CountryRussian Federation
CityChelyabinsk
Period17/11/2019/11/20
Internet address

Bibliographical note

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Keywords

  • Industrial Internet of Things
  • fault detection and diagnosis
  • pressure transducer
  • self-validation
  • signal processing
  • wireless sensors

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Information Systems and Management
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence
  • Safety, Risk, Reliability and Quality

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