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 language | English |
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Title of host publication | Proceedings - 2020 Global Smart Industry Conference, GloSIC 2020 |
Publisher | IEEE |
Pages | 204-209 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-7281-8075-5 |
DOIs | |
Publication status | Published - 18 Nov 2020 |
Event | 2020 Global Smart Industry Conference - South Ural State University, Chelyabinsk, Russian Federation Duration: 17 Nov 2020 → 19 Nov 2020 https://glosic.susu.ru/ |
Publication series
Name | Proceedings - 2020 Global Smart Industry Conference, GloSIC 2020 |
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Conference
Conference | 2020 Global Smart Industry Conference |
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Abbreviated title | GloSIC 2020 |
Country/Territory | Russian Federation |
City | Chelyabinsk |
Period | 17/11/20 → 19/11/20 |
Internet address |
Bibliographical note
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.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