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舰船建造质量量化评价方法

付森宗 王鸿东 易宏

付森宗, 王鸿东, 易宏. 舰船建造质量量化评价方法[J]. 中国舰船研究, 2017, 12(2): 143-150. doi: 10.3969/j.issn.1673-3185.2017.02.019
引用本文: 付森宗, 王鸿东, 易宏. 舰船建造质量量化评价方法[J]. 中国舰船研究, 2017, 12(2): 143-150. doi: 10.3969/j.issn.1673-3185.2017.02.019
Senzong FU, Hongdong WANG, Hong YI. Quantitative analysis method for ship construction quality[J]. Chinese Journal of Ship Research, 2017, 12(2): 143-150. doi: 10.3969/j.issn.1673-3185.2017.02.019
Citation: Senzong FU, Hongdong WANG, Hong YI. Quantitative analysis method for ship construction quality[J]. Chinese Journal of Ship Research, 2017, 12(2): 143-150. doi: 10.3969/j.issn.1673-3185.2017.02.019

舰船建造质量量化评价方法

doi: 10.3969/j.issn.1673-3185.2017.02.019
详细信息
    作者简介:

    付森宗, 男, 1966年生, 硕士, 高级工程师

    通信作者:

    王鸿东 (通信作者), 男, 1989年生, 博士生

  • 中图分类号: U671.97

Quantitative analysis method for ship construction quality

知识共享许可协议
舰船建造质量量化评价方法付森宗,等创作,采用知识共享署名4.0国际许可协议进行许可。
  • 摘要:   目的  对舰船建造质量进行准确评价是装备实现既定任务目标的保障。由于舰船建造样本量小、加工类型多样、工艺路线非标准化,长期以来,对于舰船建造质量的研究缺乏数据信息的支撑,通常以定性分析为主。为实现对舰船建造质量的量化评价和有效控制,  方法  针对建造工艺故障的随机性和不确定性,在以功能为导向的质量控制(FOQC)方法提出的工艺-质量参数模型基础上,基于模糊数学理论集成专家评分方法,将顺序关联、串联、混联工艺可靠度计算模型与模糊评分方法结合,提出舰船建造质量定量评价流程和工艺可靠度模糊计算方法。  结果  以某型号舰船轴系齿轮箱安装建造为实例进行计算,验证了方法的可用性和有效性。  结论  计算结果可为关键质量检验点设置及关键工艺控制优化提供参考。
  • 图  1  典型PFMEA流程

    Figure  1.  Typical flow chart of PFMEA method

    图  2  顺序关联模型

    Figure  2.  Ordinal connection model

    图  3  串联模型

    Figure  3.  Series connection model

    图  4  混联模型

    Figure  4.  Mix connection model

    图  5  语义词的TFN模糊表示[9]

    Figure  5.  Fuzzy representation of linguistic terms[9]

    图  6  影响安装牢固度的工序图

    Figure  6.  Affecting fastness process

    表  1  概率评估的语义表达

    Table  1.   Semantic expressions for probability

    语义词 评估对象
    故障模式概率 修正概率
    L1 几乎不能 几乎不能
    L2 较小可能 较小可能
    L3 中等可能 中等可能
    L4 较大可能 较大可能
    L5 很大可能 很大可能
    L6 非常可能 非常可能
    下载: 导出CSV

    表  2  梯形模糊数的语义表达

    Table  2.   Semantic expressions for TFN

    语义词 梯形模糊数TFN
    a b c d
    L1 0.000 0.000 0.050 0.093
    L2 0.072 0.129 0.217 0.311
    L3 0.255 0.326 0.382 0.458
    L4 0.428 0.503 0.584 0.620
    L5 0.542 0.613 0.739 0.847
    L6 0.725 0.854 1.000 1.000
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-08-22
  • 网络出版日期:  2017-03-13
  • 刊出日期:  2017-04-01

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