DocumentCode :
1792670
Title :
Vibration-based wireless machine condition monitoring system
Author :
Ikram, Waqas ; Su-Liang Chen ; Harvei, Trygve ; Olsen, Thomas ; Mikalsen, Espen ; Svoen, Geir ; Froystein, Sverre ; Myhre, Bard
Author_Institution :
ABB, Oslo, Norway
fYear :
2014
fDate :
16-19 Sept. 2014
Firstpage :
1
Lastpage :
4
Abstract :
The use of wireless sensor networks has enabled the process industry to collect a vast amount of hitherto unknown data by making physical monitoring of the underlying processes and equipment practically and economically possible. Wireless communication has led to new applications in the field of wireless process automation which in the past were subjected to economical, physical and technological barriers. One such application is vibration monitoring targeting condition monitoring of equipment with rotating parts. This paper presents a case study where a wireless vibration system is installed on an operational water pumping station in a metropolitan city. The data presented here has identified a potential problem with the ball-bearing of a particular motor in use. In addition, the wireless communication performance is also examined.
Keywords :
ball bearings; computerised monitoring; condition monitoring; induction motors; mechanical engineering computing; process monitoring; pumping plants; wireless sensor networks; equipment physical monitoring; hitherto unknown data collection; induction motor; motor ball bearing; operational water pumping station; process industry; rotating part monitoring; vibration-based wireless machine condition monitoring system; wireless communication; wireless process automation; wireless sensor network; Communication system security; Condition monitoring; Sensors; Vibrations; Wavelength division multiplexing; Wireless communication; Wireless sensor networks; FFT; WirelessHART; condition monitoring; envelope; latency; reliability; stability; vibration; wireless;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technology and Factory Automation (ETFA), 2014 IEEE
Conference_Location :
Barcelona
Type :
conf
DOI :
10.1109/ETFA.2014.7005277
Filename :
7005277
Link To Document :
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