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ThinkMind // SENSORCOMM 2013, The Seventh International Conference on Sensor Technologies and Applications // View article sensorcomm_2013_9_30_10180


Early-Warning System for Machine Failures: Self-sufficient Radio Sensor Systems for Wireless Condition Monitoring

Authors:
Michael Niedermayer
Stephan Benecke
Rainer Wirth
Axel Haubold
Eduard Armbruster
Klaus-Dieter Lang

Keywords: Energy Harvesting; Condition Monitoring; Machine Diagnosis; Wireless Sensor Networks

Abstract:
European machinery products are in great demand due to their reliability. This competitive advantage can be further extended by using wireless sensor network for condition monitoring. Radio sensor nodes constantly monitor the aging of machines and detect faults before the machine fails. This means that time-consuming and expensive downtime can be avoided. A sensor network for the condition monitoring of industrial machines has been developed in the publicly funded project ECoMoS. The implemented sensor nodes are able to predict machine failures until 3 months in advance.

Pages: 225 to 230

Copyright: Copyright (c) IARIA, 2013

Publication date: August 25, 2013

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-296-7

Location: Barcelona, Spain

Dates: from August 25, 2013 to August 31, 2013

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