DocumentCode :
2083940
Title :
A novel signals splitting method for intermittent sampling in deficient period
Author :
Sun Zhen-hua ; Tian Xue-min ; Wang Ping
Author_Institution :
Coll. of Inf. & Control Eng., China Univ. of Pet., Dongying, China
Volume :
1
fYear :
2008
fDate :
17-19 Nov. 2008
Firstpage :
656
Lastpage :
661
Abstract :
To analyze the real-time status of the pumping unit by virtue of its motor electrical information, accurate data analysis was generally required, coupled with a higher sampling frequency. This leads to a higher demand of the hardware and software configuration, especially for on-line analysis. Continuous high-speed sampling brings a large number of data-processing tasks, which makes the computer¿s resources lacked. By selecting appropriate schemes of intermittent high-speed data acquisition with an eye to the actual signal characteristics, the awkward situation maybe changed. Considering the problem of data-processing during data acquisition, one fitting-first HHT signals splitting method is proposed. It can provide a more feasible idea to improve the analysis precision of the motor electrical information.
Keywords :
electric motors; mechanical engineering computing; pumps; signal sampling; intermittent high-speed data acquisition; intermittent sampling; motor electrical information; pumping unit; signals splitting method; Data acquisition; Fourier transforms; Information analysis; Intelligent systems; Knowledge engineering; Petroleum; Sampling methods; Signal analysis; Signal resolution; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-2196-1
Electronic_ISBN :
978-1-4244-2197-8
Type :
conf
DOI :
10.1109/ISKE.2008.4731012
Filename :
4731012
Link To Document :
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