首页|基于改进综合因素法的农业机械可靠性分配

基于改进综合因素法的农业机械可靠性分配

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现有可靠性分配方法在农机领域应用较少,为更好地满足农机可靠性分配需求,提出了一种基于改进综合因素法(IFM)的农业机械可靠性分配方法.该方法针对农机特点综合考虑了包含子系统危害度A1、改进潜力A2、复杂度A3、维修性A4、环境条件A5和技术水平A6在内的6种影响因素,并形成子系统故障率分配的权重因子,实现了将指定的系统整体可靠性目标分配至子系统层级.针对新研发产品,给出了各影响因素取值的评价参考标准,可通过故障模式影响及危害性分析(FMECA)结合专家评分定量计算.以2BMQF-6/12免耕播种机为例,应用改进IFM对其进行可靠性分配,并与IFM及FOO、Kim、Yadav方法进行比对,验证了本文所提出方法的可行性.本文方法分配结果合理、流程完善、考虑因素相对全面,可为农机可靠性分配提供参考,为农机产品可靠性设计提供依据.
Reliability allocation of agricultural machinery based on improved integrated factors method
Existing reliability allocation methods are less applied in the field of agricultural machinery,and in order to better meet the reliability allocation needs of agricultural machinery,this paper proposes a reliability allocation method for agricultural machinery based on improved integrated factors method(IFM).The method integrates six influencing factors including subsystem severity A1,improvement potential A2,complexity A3,maintainability A4,environmental conditions A5 and technology level A6 for the characteristics of agricultural machinery,and forms the weight factor of subsystem failure rate to realize the allocation of the specified overall system reliability target to the subsystem level.For newly developed products,the evaluation reference standard for the value of each influence factor is given,which can be quantitatively calculated by FMECA combined with expert scores.Taking 2BMQF-6/12 no-till planter as an example,the improved IFM is applied to allocate its reliability,and the feasibility of the proposed method is verified by comparing it with the IFM,FOO,Kim's and Yadav's methods.The allocation results of the proposed method are reasonable,the process is complete,and the factors considered are relatively comprehensive,which can provide a reference for the reliability allocation of agricultural machinery and a basis for the reliability design of agricultural machinery products.

agricultural machineryreliability allocationintegrated factors methoddesign phase

陈超、戴孟初、周乐、梁云东

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中国农业大学 工学院,北京 100083

农业机械 可靠性分配 综合因素法 设计阶段

国家重点研发计划数控装备可靠性教育部重点实验室开放基金浙江省自然科学基金联合基金

2023YFD1500403JLU-cncr-202305LQZSZ24E050001

2024

吉林大学学报(工学版)
吉林大学

吉林大学学报(工学版)

CSTPCD北大核心
影响因子:0.792
ISSN:1671-5497
年,卷(期):2024.54(5)
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