Signal Analysis and Processing of Combine Harvester Feedrate Monitoring System
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    Abstract:

    Aiming to achieve accurate measurement of the feedrate, reduce the influence of the working environment and the vibration interference of the combine harvester on the measurement accuracy of the feedrate, improve the practical effect of the feedrate monitoring system, and study the feedrate signal processing method, including torque signal filtering noise reduction, GPS signal analysis and operation parameters calculation and speed signal calculation and interpolation, taking the feedrate signal in the field as a sample, the threshold signal was filtered by double threshold, and the prediction effect of different interpolation methods and the noise reduction effects of different filtering methods were compared. The experimental results showed that the piecewise linear interpolation and adaptive filtering were better than other methods in the sample range. The average error of feedrate prediction after data processing was 12.5%, which can meet the actual needs of combine harvester feedrate monitoring to a certain extent.

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History
  • Received:April 22,2019
  • Revised:
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  • Online: July 10,2019
  • Published: July 10,2019
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