基于模糊综合评判的农业机械FMECA方法研究
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山东省自然科学基金项目(ZR201702180137)和山东省高等学校优势学科人才团队培育计划项目


FMECA Method Based on Fuzzy Comprehensive Evaluation
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    摘要:

    针对当前农机装备功能增强、结构复杂导致故障后果影响严重的问题,在传统故障模式、影响及危害性分析(FMECA)方法的基础上引入模糊综合评判,形成了基于模糊综合评判的FMECA分析方法。通过建立因素集、评价集、模糊因素评价矩阵、权重集等步骤,将定性评价指标予以定量化。以立式玉米脱粒试验台为例,对其分析程序和分析方法进行了验证,制定故障模式、影响分析(FMEA)表格,对表中各故障模式进行模糊综合评价。依据评判结果得出各故障模式的危害等级排序,进而找到产品可靠性改进的重点。结果表明,此评判结果与实际情况相符,该方法具有明显的准确性和可比性,为农机装备的结构优化和维修大纲制定提供了科学、准确的决策依据

    Abstract:

    The enhanced functions and complex structure of agricultural machinery lead to serious consequences of failure. During reliability analysis of products, many evaluation elements are involved and failure information and evaluation indexes are fuzzy, so it is difficult to give credible and accurate analysis results. In view of these problems, the fuzzy comprehensive evaluation was introduced into the traditional method of failure mode effect and criticality analysis (FMECA), and the new FMECA analysis method based on fuzzy comprehensive evaluation was formed. Factors set, evaluation set, judgement matrix for fuzzy factors and weights set were established to quantify the qualitative evaluation index. Taking the vertical corn threshing test bed as a case, analysis table for failure modes and effects analysis (FMEA) was established and criticalities of failure modes in the table were evaluated. According to the criticality, failure modes were ranked and emphases of reliability improvement were found. The analysis procedure and method were verified. The result showed that the method had obvious accuracy and comparability, which provided scientific and accurate decision basis for the structural optimization and formulation of maintenance program of agricultural machinery.

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胡文泽,何珂,金诚谦,耿端阳,张国海,鹿秀凤.基于模糊综合评判的农业机械FMECA方法研究[J].农业机械学报,2018,49(s1):332-337.

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  • 收稿日期:2018-07-15
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  • 在线发布日期: 2018-11-10
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