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 | Institute of Electrical and Electronic Engineers IEEE |
| Number of pages | 1 |
| Volume | 2017-December |
| ISBN (Electronic) | 9781509010127 |
| DOIs | |
| 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 |
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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 Institute of Electrical and Electronic Engineers IEEE, 2017.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Live demonstration
T2 - Energy autonomous wireless valve leakage monitoring system with acoustic emission sensor
AU - Caffrey, Colm M.
AU - Sillanpaa, Teuvo
AU - Huovila, Henrik
AU - Nikunen, Joona
AU - Hakulinen, Sami
AU - Pursula, Pekka
PY - 2017/12/21
Y1 - 2017/12/21
N2 - 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].
AB - 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].
UR - http://www.scopus.com/inward/record.url?scp=85044310584&partnerID=8YFLogxK
U2 - 10.1109/ICSENS.2017.8234026
DO - 10.1109/ICSENS.2017.8234026
M3 - Conference article in proceedings
VL - 2017-December
BT - IEEE SENSORS 2017 - Conference Proceedings
PB - Institute of Electrical and Electronic Engineers IEEE
ER -