DocumentCode
2635603
Title
Frequency analysis method using the adaptive algorithm and application to dynamic measurement of mass and weight
Author
SASAMOTO, Yuuki ; Umemoto, Toshitaka ; Adachi, Motoyuki ; Kagawa, Yoichiro
Author_Institution
Prefectural Coll. of Technol., Osaka
fYear
2007
fDate
17-20 Sept. 2007
Firstpage
37
Lastpage
41
Abstract
With increased automation in the manufacturing industry, the demand for a quick and accurate mass measurement system is growing. Currently, an active belt conveyer is in demand by many enterprises. However, there is a problem that the active the active belt conveyer causes mechanical noises. The main noises are three kinds, which are the natural oscillation of measurement conveyer, oscillation by rotation of motor and belt pulley. They cause observable signals within the active belt environment. Therefore, we have to remove those noises to acquire a greater accuracy. In the current mass measurement system, the moving method is objected to remove those noises. Unfortunately, it is inadequate only in the current system method for more quick and accurate measurement. In this paper, we propose a frequency analysis method using the LMS algorithm. Moreover, we develop the system which applied this method and moving average method. Finally, we use device actually marketed in order to verify the utility of the system by comparative experiment between current system and proposed system.
Keywords
conveyors; least mean squares methods; moving average processes; weighing; LMS algorithm; active belt conveyer; frequency analysis method; manufacturing industry; mass measurement system; mechanical noises; moving average method; weight measurement; Active noise reduction; Adaptive algorithm; Algorithm design and analysis; Belts; Current measurement; Frequency measurement; Manufacturing automation; Manufacturing industries; Noise measurement; Working environment noise; Dynamic Mass Measurement; LMS Algorithm; Spectra analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE, 2007 Annual Conference
Conference_Location
Takamatsu
Print_ISBN
978-4-907764-27-2
Electronic_ISBN
978-4-907764-27-2
Type
conf
DOI
10.1109/SICE.2007.4420946
Filename
4420946
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