| 基于模糊聚类分析的船体分段类型分类方法和应用研究 |
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| 引用本文： | 习立洋,周宏,刘建峰,王岳,刘浩然,蒋志勇. 基于模糊聚类分析的船体分段类型分类方法和应用研究[J]. 船舶工程, 2020, 42(9): 110-114 |
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| 作者姓名： | 习立洋 周宏 刘建峰 王岳 刘浩然 蒋志勇 |
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| 作者单位： | 江苏科技大学 船舶与海洋工程学院 江苏镇江,江苏科技大学 船舶与海洋工程学院 江苏镇江,上海外高桥船舶有限公司 上海市,江苏科技大学 船舶与海洋工程学院 江苏镇江,江苏科技大学 船舶与海洋工程学院 江苏镇江,江苏科技大学 船舶与海洋工程学院 江苏镇江 |
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| 基金项目： | 工信部装函（2017[614]号） |
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| 摘 要： | 为提高现阶段船体分段制造过程的标准化水平,实现分段装配工序和工时的标准化,推动船体分段制造数字化发展,本文以船体分段作为分类成组的研究对象,应用模糊聚类分析方法,建立了模糊聚类分析模型,通过输入分段工艺生产数据信息,实现了对船体分段的定量化分类,验证结果表明,应用模糊聚类分析形成的分段族类符合实际工艺需求。
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| 关 键 词： | 中间产品 模糊聚类分析 分段类型划分 |
| 收稿时间： | 2019-12-30 |
| 修稿时间： | 2020-10-17 |
Classification method and application of hull section type based on fuzzy clustering analysis |
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| XI Liyang,ZHOU Hong,LIU Jianfeng,WANG yue,LIU Haoran and JIANG Zhiyong. Classification method and application of hull section type based on fuzzy clustering analysis[J]. Ship Engineering, 2020, 42(9): 110-114 |
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| Authors: | XI Liyang ZHOU Hong LIU Jianfeng WANG yue LIU Haoran JIANG Zhiyong |
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| Affiliation: | School of Naval Architecture and Ocean Engineering,Jiangsu University of Science and Technology,Jiangsu,School of Naval Architecture and Ocean Engineering,Jiangsu University of Science and Technology,Jiangsu,Shanghai Waigaoqiao Shipbuilding Co Ltd,Shanghai ,China,School of Naval Architecture and Ocean Engineering,Jiangsu University of Science and Technology,Jiangsu,School of Naval Architecture and Ocean Engineering,Jiangsu University of Science and Technology,Jiangsu,School of Naval Architecture and Ocean Engineering,Jiangsu University of Science and Technology,Jiangsu |
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| Abstract: | In order to improve the standardization level of the hull section manufacturing process, realize the standardization of the section assembly process and working hours, and promote the digital development of the hull section manufacturing, this paper takes the hull section as the research object of classification and grouping, applies the fuzzy clustering analysis method, establishes the fuzzy clustering analysis model, and realizes the hull section by inputting the section process production data information The results show that the segmented families formed by fuzzy cluster analysis meet the needs of actual technology. |
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| Keywords: | Intermediate products fuzzy cluster analysis section type classification |
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