DocumentCode
3309525
Title
Condition monitoring architecture: To reduce total cost of ownership
Author
Bechhoefer, Eric ; Morton, Brogan
Author_Institution
NRG Syst., Hinesburg, VT, USA
fYear
2012
fDate
18-21 June 2012
Firstpage
1
Lastpage
9
Abstract
The lack of widespread adoption of condition monitoring systems (CMS) in wind turbines is due, in part, to the high total cost of ownership. After the initial purchase, there is installation, Information Technology (servers/database/software support) and knowledge creation cost. Knowledge creation refers to the ability of the CMS to provide the operator with actionable information. Presented is a CMS architecture which reduces the total cost of ownership by reducing hardware cost (MEMS based sensor and local processing), reducing IT cost by deploying to a compute cloud, and reducing the cost of knowledge creation by incorporating advanced digital signal processing and decision support algorithms into the CMS application.
Keywords
cloud computing; computerised monitoring; condition monitoring; decision support systems; power engineering computing; signal processing; wind turbines; CMS architecture; IT cost; compute cloud; condition monitoring architecture; condition monitoring systems; decision support algorithms; digital signal processing; information technology; knowledge creation cost; total ownership cost reduction; wind turbines; Accelerometers; Computer architecture; Gears; Micromechanical devices; Shafts; Vibrations; Wind turbines; MEMS sensor; cloud computing; condition monitoring; decision algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Prognostics and Health Management (PHM), 2012 IEEE Conference on
Conference_Location
Denver, CO
Print_ISBN
978-1-4673-0356-9
Type
conf
DOI
10.1109/ICPHM.2012.6299509
Filename
6299509
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