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Low power sensor network for wireless condition monitoring

: Richter, C.; Frankenstein, B.; Schubert, L.; Weihnacht, B.; Friedmann, H.; Ebert, C.


Meyendorf, N.G. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Smart sensor phenomena, technology, networks, and systems 2009 : 9 - 11 March 2009, San Diego, California; The Technical Conference of Smart Sensor Phenomena, Technology, Networks, and Systems
Bellingham, WA: SPIE, 2009 (Proceedings of SPIE 7293)
ISBN: 978-0-8194-7553-4
Paper 72930J
Annual International Symposium Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring <16, 2009, San Diego/Calif.>
Conference Smart Sensor Phenomena, Technology, Networks, and Systems <2009, San Diego/Calif.>
Conference Paper
Fraunhofer IZFP, Institutsteil Dresden ( IKTS-MD) ()

For comprehensive fatigue tests and surveillance of large scale structures, a vibration monitoring system working in the Hz and sub Hz frequency range was realized and tested. The system is based on a wireless sensor network and focuses especially on the realization of a low power measurement, signal processing and communication. Regarding the development, we met the challenge of synchronizing the wireless connected sensor nodes with sufficient accuracy. The sensor nodes ware realized by compact, sensor near signal processing structures containing components for analog preprocessing of acoustic signals, their digitization, algorithms for data reduction and network communication. The core component is a digital micro controller which performs the basic algorithms necessary for the data acquisition synchronization and the filtering. As a first application, the system was installed in a rotor blade of a wind power turbine in order to monitor the Eigen modes over a longer period of time. Currently the sensor nodes are battery powered.