DocumentCode
3397638
Title
Dynamic weighing signal processing by system identification
Author
Zhang, Yan ; Fu, Huake
Author_Institution
Sch. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou, China
Volume
2
fYear
2010
fDate
30-31 May 2010
Firstpage
203
Lastpage
206
Abstract
An effective way to solve the problem of overloaded vehicles is dynamic weighing. In this paper, the characteristic of dynamic weighing system signal was analyzed. Firstly, by taking wavelet transform, the shaft weight signals was disposed by frequency division to filter the high frequency noise; Secondly, using genetic algorithm to filter the dynamic load which mixed up with weighing signal; the last step, ARX algorithm was introduced in system identification and get weight of vehicles. The simulation found that accuracy is about 1%, has reached the advanced product precision standard.
Keywords
Filters; Frequency conversion; Genetic algorithms; Shafts; Signal analysis; Signal processing; System identification; Vehicle dynamics; Vehicles; Wavelet transforms; dynamic weighing; genetic algorithm; system identification; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on
Conference_Location
Wuhan, China
Print_ISBN
978-1-4244-7653-4
Type
conf
DOI
10.1109/ICINDMA.2010.5538333
Filename
5538333
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