Reliability control and calculation for agri-equipments based on an intelligent algorithm

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY Journal of Computational Methods in Sciences and Engineering Pub Date : 2023-05-31 DOI:10.3233/jcm-226885
Zhengmao Luo, Dachong Dong, Z. Cai, Y. Wan
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Abstract

In the research, an agricultural machinery reliability analysis method based on fusion algorithm is proposed, a optimal radial basis function neural network and M-C statistical test method are mixed to obtain an agricultural machinery reliability. This mixed model is used to reliability design and calculation of a cotton picker, the simulation model of reliability control and calculation for a cotton picker based on the mixed algorithm is set up, and reliability of the level spindle of a cotton picker is computed through the mixed method, and the effect of important factors on the cotton picker is predicted. The level spindle is critical force-bearing parts of a cotton picker and breakdown occurs frequently, their reliability control and optimization are key problems that need to be solved urgently, this study builds an innovative approach for the reliability optimization and design of agricultural equipments.
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基于智能算法的农业设备可靠性控制与计算
在研究中,提出了一种基于融合算法的农机可靠性分析方法,将最优径向基函数神经网络与M-C统计检验方法相结合,获得农机可靠性。将该混合模型应用于摘棉机的可靠性设计与计算,建立了基于混合算法的摘棉机可靠性控制与计算仿真模型,通过混合方法计算了摘棉机水平主轴的可靠性,并预测了重要因素对摘棉机可靠性的影响。水平仪主轴是摘棉机的关键受力部件,故障频发,其可靠性控制与优化是迫切需要解决的关键问题,本研究为农业设备可靠性优化设计提供了创新思路。
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
152
期刊介绍: The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.
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