ISBN: 978-981-09-5471-0 DOI: 10.18178/wcse.2015.04.067
Research and Discussion on Combine Harvester Cleaning Loss Detection Technology
Abstract— Combine harvester is generally used machinery equipment. The design, production and
using of combine harvester must ensure grain loss meeting its relevant national indicators of quality
and performance. Grain loss mainly come from cleaning parts, so that the research of cleaning loss
detection technology is very important. But the combine harvester monitoring system about loss is
not universal, basically staying at the research stage in China. Under our existing land conditions,
with combine existing holdings, the research value and market prospects are very impressive. From
the signal acquisition technology ,signal processing and extraction and vibration sensor structure,
this article introduces the domestic and foreign harvester method and apparatus for testing the
cleaning loss. It Also analyses the problems of existing research technology and methods , including
the complex calibration procedure of sensor and detection devices ,not being high detection
accuracy and so on. On this basis, the author puts forward the main research directions of cleaning
loss detection technology and its development trends in the future. Firstly, the key sensor
technologies are developed in depth. Secondly, application of blind sources separation(BSS) and
other signal process technology in the grain cleaning loss extraction. Lastly, research on loss
mechanism and automatic controlling technology for cleaning part.
Index Terms— harvester, cleaning loss, signal acquisition technology, signal processing and extraction, blind sources separation(BSS).
Wang Su-zhen, Lu Bao-chun
College of mechanical engineering, Nanjing University of Science & Technology, CHINA
Nanjing research institute for agriculture Mechanization, Ministry of Agriculture, CHINA
Cite: Wang Su-zhen, Lu Bao-chun, "Research and Discussion on Combine Harvester Cleaning Loss Detection Technology," 2015 The 5th International Workshop on Computer Science and Engineering-Information Processing and Control Engineering (WCSE 2015-IPCE), pp. 406-412, Moscow, Russia, April 15-17, 2015.