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基于网络分析的作业车间故障资源评价方法研究

发布时间:2018-02-10 23:30

  本文关键词: 车间网络 节点故障 节点影响力 改进网络层次分析法 出处:《组合机床与自动化加工技术》2017年11期  论文类型:期刊论文


【摘要】:针对作业车间中不同的故障资源对车间网络影响程度不同,结合网络属性和制造属性构建车间网络节点影响力指标体系,在层次分析法的基础上,改进网络层次分析法(ANP)的结构以及标度指数提出改进网络层次分析法(IANP),对车间网络中故障节点影响力进行分析及排序。网络层引入复杂网络理论,以制造资源为节点,工艺约束为连边构建车间网络。对网络层进行定量分析,对控制层进行定性分析,提高了评价分析的精确性。通过将文章中算法和度中心性、接近中心性、LeaderRank算法以及节点删除法进行对比,验证了该指标体系以及模型的有效性。
[Abstract]:Aiming at the different influence degree of different fault resources on the workshop network in the job shop, combining the network attribute and the manufacturing attribute, the influence index system of the workshop network node is constructed, and based on the analytic hierarchy process (AHP), the influence index system of the workshop network node is constructed. The structure and scale index of the improved network hierarchy process (ANPs) are proposed to analyze and sort the influence of the fault nodes in the workshop network. The network layer introduces the complex network theory and takes the manufacturing resources as the node. The process constraint is to build the workshop network with continuous edges. The quantitative analysis of the network layer and the qualitative analysis of the control layer are carried out to improve the accuracy of the evaluation and analysis. The effectiveness of the index system and the model is verified by comparing the near centrality LeaderRank algorithm and the node deletion method.
【作者单位】: 新疆大学机械工程学院;
【基金】:国家自然科学基金(51365054) 新疆维吾尔自治区自然科学基金(2014211A008)
【分类号】:TH18

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1 吴志盛;刘枫;;基于模糊推理的WIA-PA节点故障诊断[J];计算机测量与控制;2011年01期



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