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Threshing loss stochastic variabDity on combine harvesters

Published online by Cambridge University Press:  01 July 2016

C. A. Glasbey  and
M. B. McGechan
C. A. Glasbey
Affiliation:
ARC Unit of Statistics, University of Edinburgh
M. B. McGechan
Affiliation:
Scottish Institute of Agricultural Engineering, Penicuik
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Extract

The stochastic variability is investigated in the experimental results from an acoustic grain loss monitor and a table auger torque sensor on a combine harvester. A bivariate first-order autoregressive first-order moving-average model is identified and used to specify optimal control systems for adjusting combine forward speed to maintain constant threshing losses. These provide upper bounds on the benefits of practical forward speed control systems.

Type
Applied Probability in Biology and Engineering. An ORSA/TIMS Special Interest Meeting
Information
Advances in Applied Probability , Volume 16 , Issue 1 , March 1984 , pp. 15
Copyright
Copyright © Applied Probability Trust 1984 

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