CAJ | 학술논문

针对玉米收获过程中拨禾导向装置的高故障率问题，在分析玉米收获机拨禾导向装置工作原理的基础上，运用MATLAB神经网络工具箱建立拨禾导向装置可靠性预测的BP神经网络模型。根据不同型号玉米收获机拨禾导向装置的可靠性数据，进行网络设计和训练。选取传动系统、果穗输送器、左拨禾链、右拨禾链、摘穗辊组、张紧装置、机架的可靠度为输入变量，该装置总体可靠度为输出变量进行预测分析。结果表明，预测误差较小，能够有效预测其可靠性，为玉米收获机拨禾导向装置的优化设计及参数选择提供了依据。
침대옥미수획과정중발화도향장치적고고장솔문제，재분석옥미수획궤발화도향장치공작원리적기출상，운용MATLAB신경망락공구상건립발화도향장치가고성예측적BP신경망락모형。근거불동형호옥미수획궤발화도향장치적가고성수거，진행망락설계화훈련。선취전동계통、과수수송기、좌발화련、우발화련、적수곤조、장긴장치、궤가적가고도위수입변량，해장치총체가고도위수출변량진행예측분석。결과표명，예측오차교소，능구유효예측기가고성，위옥미수획궤발화도향장치적우화설계급삼수선택제공료의거。
Aimed to the problem of high failure rate appearing on the raking and conveying device during the process of harvesting corn .We analyzed the working principle of it and then established a BP neural network model to predict the reliability of this device on the basis of using the MATLAB neural network toolbox .The neural network was designed and trained according to the device reliability data from different type corn harvest .Selected these reliability data which were from transmission system , scraper conveyer , left raking chain , right raking chain , snapping roll , tightener and frame and used it as the input variables then used the all device ’ s reliability data as the output variable .Predicted results showed that the neural network with small prediction error can forecast the reliability of raking and conveying device effectively . Moreover , it provided a foundation for the optimization design and parameter selection of this device .