DocumentCode :
3578279
Title :
Energy Efficient Machine Condition Monitoring Using Wireless Sensor Networks
Author :
Bergmann, Neil W. ; Li-Qun Hou
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
fYear :
2014
Firstpage :
285
Lastpage :
290
Abstract :
An Industrial Wireless Sensor Network system is described for condition monitoring of electric machines. On-sensor data processing is used to reduce the amount of information that needs to be transmitted, thus saving communications energy. Based on a condition monitoring interval of 3 seconds, and using 2 AAA batteries for power, the system lifetime is measured for four different operating modes. For raw data transmission to the coordinator, the system lifetime is 106 hours. If feature extraction is done on the sensor node, this is extended to 152 hours. If fault diagnosis is done on the node, the lifetime is 153 hours. If fault diagnosis is conducted every 3 seconds but results are only sent under fault conditions, or once per hour as a health check, then lifetime is dramatically increased to 1764 hours.
Keywords :
condition monitoring; electric machines; fault diagnosis; feature extraction; wireless sensor networks; communications energy; condition monitoring interval; electric machines; energy efficient machine condition monitoring; fault conditions; fault diagnosis; feature extraction; health check; industrial wireless sensor networks; on-sensor data processing; operating modes; sensor node; system lifetime; time 106 hr; time 153 hr; time 1764 hr; time 3 s; Batteries; Condition monitoring; Fault diagnosis; Feature extraction; Monitoring; Wireless sensor networks; condition monitoring; energy efficiency; on-sensor processing; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communication and Sensor Network (WCSN), 2014 International Conference on
Print_ISBN :
978-1-4799-7090-2
Type :
conf
DOI :
10.1109/WCSN.2014.65
Filename :
7061741
Link To Document :
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