DocumentCode :
2416668
Title :
Induction motor condition monitoring using industrial wireless sensor networks
Author :
Hou, Liqun ; Bergmann, Neil W.
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
49
Lastpage :
54
Abstract :
An induction motor condition monitoring system using industrial wireless sensor networks (IWSNs) with and without on-sensor data processing are described and compared. The prototype system has been implemented and validated on a single phase induction motor in the laboratory. On-sensor data processing is explored to alleviate the contradictions between the higher performance requirements of IWSNs such as higher sample rate and fast transmission rate, and the resource constrained characteristic of IWSNs nodes, such as the limited data rate and battery energy. The experimental results and motor stator current waveforms on different working conditions are given. The test, comparison and analysis about data transmission rate, energy consumption and node lifetime for on-sensor data processing and direct raw data transmission are also presented.
Keywords :
condition monitoring; induction motors; wireless sensor networks; IWSN node; battery energy consumption; direct raw data transmission; fast transmission rate; induction motor condition monitoring; industrial wireless sensor networks; motor stator current waveforms; on-sensor data processing; resource constrained characteristic; single phase induction motor; Data communication; Data processing; Induction motors; Monitoring; Stators; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2010 Sixth International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4244-7174-4
Type :
conf
DOI :
10.1109/ISSNIP.2010.5706739
Filename :
5706739
Link To Document :
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