Chaos detection of grain impact at combine cleaning loss sensor
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Graphical Abstract
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Abstract
A novel detecting method of grain impacting combine cleaning loss sensor was suggested. The simulation model of grain impacting force-sensitive components was established in LS-DYNA platform. The displacement signal of grain impacting force-sensitive component at a speed of 3 m/s was acquired by simulation. Both Duffing oscillator detection and Coupled Duffing Oscillators detecting system were built to detect weak grain impact signal. The power spectral density of white noise by cycle image method was detected and the critical power spectral density of the two detecting systems was got. The signal to noise ratios of the two systems were detected while adding the weak grain impact signal and white noise. Single grain impact signal could be detected by the Coupled Duffing Oscillators detecting system directly and quickly. It was found that Duffing oscillator detecting system have great advantages in detecting weak grain impact signal under strong noise background. The research has a potential applying prospect in combine cleaning loss detection.
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