[1]陈昌荣,张子旺,江吉彬,等.基于不确定推理的风电塔筒焊接工艺[J].福建工程学院学报,2023,21(03):237-243.[doi:10.3969/j.issn.1672-4348.2023.03.006]
CHEN Changrong,ZHANG Ziwang,JIANG Jibin,et al.Welding process of wind power tower based on uncertainty inference[J].Journal of FuJian University of Technology,2023,21(03):237-243.[doi:10.3969/j.issn.1672-4348.2023.03.006]
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基于不确定推理的风电塔筒焊接工艺()
《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]
- 卷:
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第21卷
- 期数:
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2023年03期
- 页码:
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237-243
- 栏目:
-
- 出版日期:
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2023-06-25
文章信息/Info
- Title:
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Welding process of wind power tower based on uncertainty inference
- 作者:
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陈昌荣; 张子旺; 江吉彬; 练国富; 汪草宏
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福建工程学院机械与汽车工程学院
- Author(s):
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CHEN Changrong; ZHANG Ziwang; JIANG Jibin; LIAN Guofu; WANG Caohong
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School of Mechanical and Automotive Engineering, Fujian University of Technology
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- 关键词:
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焊接工艺; 产生式表示法; 推理算法; 专家系统; 知识库
- Keywords:
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welding process; production representation; inference algorithm; expert system; knowledge base
- 分类号:
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TG4;TP182
- DOI:
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10.3969/j.issn.1672-4348.2023.03.006
- 文献标志码:
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A
- 摘要:
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为实现海上风电塔筒焊接工艺的高效规划,以其大厚板、大直径的特点,分析了焊接工艺文件,根据工艺编制流程分出基础与核心工艺,并使用不确定性产生式规则表示为焊接知识,围绕该知识设计了其焊接工艺推理算法,运用多元线性回归对应各核心参数之间的关系,建立了其焊接工艺知识库。结果表明,采用修改后的不确定性产生式规则表示法构建的焊接工艺设计推理算法,能快速推导出相应的焊接工艺文件及核心参数。
- Abstract:
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The purpose of the study is to realize the efficient planning of the welding process of offshore wind power tower. Based on the characteristics of its large thick plate and large diameter, the welding process documents were analyzed, and the basic and core processes were separated according to the process compilation process, and expressed as welding knowledge using uncertainty production rules. The welding process inference algorithm was designed around this knowledge, and the welding process knowledge base was established by using multiple linear regression to correspond to the relationship between each core parameter. Results show that the welding process design inference algorithm constructed by the modified uncertainty production rule representation can quickly deduce the corresponding welding process documents and core parameters.
参考文献/References:
[1] 陈琨. 风电塔筒生产中埋弧自动焊的应用研究[J]. 中国设备工程,2021(12):238-240.[2] 张淑枝,解金波,王健. 风电塔筒厚钢板焊接工艺参数分析[J]. 山东工业技术,2014(18):32-33.[3] 张永红. 风电塔筒焊接工艺的改进措施[J]. 科技资讯,2008,6(30):76.[4] 吴叶军,魏艳红. 智能化焊接CAPP的分析与开发[J]. 焊接学报,2015,36(7):109-112,118.[5] 郑德宏,张家诚,黄旭,等. 基于BIM技术的钢结构焊接CAPP系统[J]. 科技与创新,2022(10):58-60,67.[6] 罗怡,伍光凤,李春天. CO2焊接工艺参数优化的人工神经网络设计[J]. 热加工工艺,2008,37(5):93-95.[7] 卓宏明,陈倩清,何海华. 基于萤火虫神经网络的焊接工艺专家系统开发[J]. 机电技术,2020,43(4):27-29.[8] 郭温. 基于实例推理的船舶焊接工艺设计研究[J]. 铸造技术,2012,33(1):100-102.[9] 冯志强,柳存根. 基于合成规则的相似性推理及其在焊接参数设计中的应用[J]. 数学的实践与认识,2016,46(2):155-164.[10] 马国辉,田凌,刘思超,等. 基于知识工程的船体焊接工艺研究[J]. 图学学报,2020,41(3):430-437.[11] 凡天娣,景旭文,肖志建,等. 基于本体的船舶焊接工艺知识图谱构建[J]. 电焊机,2019,49(12):8-13.[12] 王林,马飞英,刘全稳,等. 基于产生式系统的煤层气井排采异常识别技术[J]. 煤田地质与勘探,2017,45(3):72-76.[13] 陈栋,吴保国,刘建成,等. 基于框架表示法的森林经营知识服务系统设计与实现[J]. 浙江农林大学学报,2017,34(3):491-500.[14] 宋杰,徐洁,周德生,等. 基于语义网的智能变电站运维专家系统可扩展建模与应用[J]. 电力系统保护与控制,2017,45(22):144-151.
更新日期/Last Update:
2023-06-25