Energy Autonomous Wireless Valve Leakage Monitoring System With Acoustic Emission Sensor

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)

Abstract

Industrial internet will improve process control and increase efficiency to maximize industrial output. Key enabling technologies include low-power wireless communication, energy harvesting power autonomous devices along with the latest in sensing devices. This paper presents a wireless sensing system developed for the key industrial application of condition monitoring, specifically; valve leakage detection. The system integrates advances in all of the three aforementioned topics. A novel MEMS-based acoustic emission sensor is described to detect valve leakage manifested as vibrations in certain frequency bands. An in-house developed ultra-low power wake up radio technology, which enables the deployment of this sensor, will be presented. Two energy-harvesting systems: thermal harvesting in the sensor node and an industrial current loop harvester for the base station are developed. Integration and piloting of this system is described and evaluation results presented. The system presented offers a repeatable and adaptable sensor system deployed for valve leakage detection in an ATEX industrial environment.
Original languageEnglish
Article number7947152
Pages (from-to)2884-2893
Number of pages10
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Volume64
Issue number11
DOIs
Publication statusPublished - 1 Nov 2017
MoE publication typeA1 Journal article-refereed

Fingerprint

Acoustic emissions
Energy harvesting
Monitoring
Sensors
Harvesters
Condition monitoring
Sensor nodes
Base stations
Frequency bands
Industrial applications
MEMS
Process control
Internet
Communication

Keywords

  • acoustic emission
  • acoustic emission sensor
  • base stations
  • condition monitoring
  • industrial internet
  • internet of things
  • MEMS
  • microelectromechanical systems
  • micromechanical devices
  • monitoring
  • process control
  • thermal energy harvesting
  • valves
  • wake up radio
  • wireless communication
  • Wireless sensor networks

Cite this

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title = "Energy Autonomous Wireless Valve Leakage Monitoring System With Acoustic Emission Sensor",
abstract = "Industrial internet will improve process control and increase efficiency to maximize industrial output. Key enabling technologies include low-power wireless communication, energy harvesting power autonomous devices along with the latest in sensing devices. This paper presents a wireless sensing system developed for the key industrial application of condition monitoring, specifically; valve leakage detection. The system integrates advances in all of the three aforementioned topics. A novel MEMS-based acoustic emission sensor is described to detect valve leakage manifested as vibrations in certain frequency bands. An in-house developed ultra-low power wake up radio technology, which enables the deployment of this sensor, will be presented. Two energy-harvesting systems: thermal harvesting in the sensor node and an industrial current loop harvester for the base station are developed. Integration and piloting of this system is described and evaluation results presented. The system presented offers a repeatable and adaptable sensor system deployed for valve leakage detection in an ATEX industrial environment.",
keywords = "acoustic emission, acoustic emission sensor, base stations, condition monitoring, industrial internet, internet of things, MEMS, microelectromechanical systems, micromechanical devices, monitoring, process control, thermal energy harvesting, valves, wake up radio, wireless communication, Wireless sensor networks",
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Energy Autonomous Wireless Valve Leakage Monitoring System With Acoustic Emission Sensor. / McCaffrey, Colm; Sillanpaa, Teuvo; Huovila, Henrik; Nikunen, Joona; Hakulinen, Sami; Pursula, Pekka.

In: IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 64, No. 11, 7947152, 01.11.2017, p. 2884-2893.

Research output: Contribution to journalArticleScientificpeer-review

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