Live demonstration: Energy autonomous wireless valve leakage monitoring system with acoustic emission sensor

Colm M. Caffrey; Teuvo Sillanpaa; Henrik Huovila; Joona Nikunen; Sami Hakulinen; Pekka Pursula

doi:10.1109/ICSENS.2017.8234026

Live demonstration: Energy autonomous wireless valve leakage monitoring system with acoustic emission sensor

Colm M. Caffrey, Teuvo Sillanpaa, Henrik Huovila, Joona Nikunen, Sami Hakulinen, Pekka Pursula

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

This demonstration will present an industrial process monitoring system developed at VTT and piloted at Metso Flow Control Oy for the application of valve leakage detection. The system applies a MEMs based acoustic emission sensor for the detection of valve micro fractures manifested as acoustic emissions in high-pressure valves. A whole system is developed including an asynchronous ultra-low power wake up radio and energy harvesters for both the sensor nodes and base station device giving a fully energy autonomous solution [1].

Original language	English
Title of host publication	IEEE SENSORS 2017 - Conference Proceedings
Publisher	IEEE Institute of Electrical and Electronic Engineers
Number of pages	1
Volume	2017-December
ISBN (Electronic)	9781509010127
DOIs	https://doi.org/10.1109/ICSENS.2017.8234026
Publication status	Published - 21 Dec 2017
MoE publication type	A4 Article in a conference publication
Event	16th IEEE SENSORS Conference, ICSENS 2017 - Glasgow, United Kingdom Duration: 30 Oct 2017 → 1 Nov 2017

Conference

Conference	16th IEEE SENSORS Conference, ICSENS 2017
Country	United Kingdom
City	Glasgow
Period	30/10/17 → 1/11/17

Keywords

OtaNano

Access to Document

10.1109/ICSENS.2017.8234026

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Cite this

Caffrey, C. M., Sillanpaa, T., Huovila, H., Nikunen, J., Hakulinen, S., & Pursula, P. (2017). Live demonstration: Energy autonomous wireless valve leakage monitoring system with acoustic emission sensor. In IEEE SENSORS 2017 - Conference Proceedings (Vol. 2017-December). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ICSENS.2017.8234026

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abstract = "This demonstration will present an industrial process monitoring system developed at VTT and piloted at Metso Flow Control Oy for the application of valve leakage detection. The system applies a MEMs based acoustic emission sensor for the detection of valve micro fractures manifested as acoustic emissions in high-pressure valves. A whole system is developed including an asynchronous ultra-low power wake up radio and energy harvesters for both the sensor nodes and base station device giving a fully energy autonomous solution [1].",

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author = "Caffrey, {Colm M.} and Teuvo Sillanpaa and Henrik Huovila and Joona Nikunen and Sami Hakulinen and Pekka Pursula",

note = "Funding Information: The system development was been funded by Tekes, the Finnish Funding Agency for Technology and Innovation in the EFFIMA-InterSync research project. Pilot testing was carried out by tenure contract with Metso Flow Control Oy. Publisher Copyright: {\textcopyright} 2017 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 16th IEEE SENSORS Conference, ICSENS 2017 ; Conference date: 30-10-2017 Through 01-11-2017",

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Caffrey, CM, Sillanpaa, T , Huovila, H, Nikunen, J, Hakulinen, S & Pursula, P 2017, Live demonstration: Energy autonomous wireless valve leakage monitoring system with acoustic emission sensor. in IEEE SENSORS 2017 - Conference Proceedings. vol. 2017-December, IEEE Institute of Electrical and Electronic Engineers, 16th IEEE SENSORS Conference, ICSENS 2017, Glasgow, United Kingdom, 30/10/17. https://doi.org/10.1109/ICSENS.2017.8234026

Live demonstration : Energy autonomous wireless valve leakage monitoring system with acoustic emission sensor. / Caffrey, Colm M.; Sillanpaa, Teuvo ; Huovila, Henrik; Nikunen, Joona; Hakulinen, Sami; Pursula, Pekka.

IEEE SENSORS 2017 - Conference Proceedings. Vol. 2017-December IEEE Institute of Electrical and Electronic Engineers, 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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