[1]张卫, 丁金福, 纪杨建, 等. 工业大数据环境下的智能服务模块化设计[J].中国机械工程, 2019,30(2):167-173.
ZHANG Wei, DING Jingfu, JI Yangjian, et al. Modular Design of Intelligent Service Based on Industrial Big Data[J]. China Mechanical Engineering,2019, 30(2):167-173.
[2]李浩, 顾新建,祁国宁,等. 现代制造服务业的发展模式及中国的发展策略[J].中国机械工程,2012,23(7):798-809.
LI Hao, GU Xinjian, QI Guoning, et al. Research on Development Mode of Modern Manufacturing Services and Its Development Strategy in China[J]. China Mechanical Engineering, 2012, 23(7): 798-809.
[3]DAVIS J, EDGAR T, PORTER J, et al. Smart Manufacturing, Manufacturing Intelligence and Demand-dynamic Performance[J]. Computers & Chemical Engineering, 2012, 47(12):145-156.
[4]张映锋,张党,任杉.智能制造及其关键技术研究现状与趋势综述[J].机械科学与技术,2019,38(3):329-338.
ZHANG Yingfeng, ZHANG Dang, REN Shan. Survey on Current Research and Future Trends of Smart Manufacturing and Its Key Technologies[J]. Mechanical Science and Technology for Aerospace Engineering, 2019, 38(3): 329-338.
[5]周佳军, 姚锡凡, 刘敏, 等. 几种新兴智能制造模式研究评述[J]. 计算机集成制造系统, 2017,23(3):624-639.
ZHOU Jiajun, YAO Xifan, LIU Min, et al. State-of-Art Review on New Emerging Intelligent Manufacturing Paradigms[J]. Computer Integrated Manufacturing Systems, 2017, 23(3): 624-639.
[6]KANG H S, LEE J Y, CHOI S, et al. Smart Manufacturing: Past Research, Present Findings, and Future Directions[J]. International Journal of Precision Engineering and Manufacturing-Green Technology,2016,3(1):111-128.
[7]ROA M A , BERENSON D , HUANG W. Mobile Manipulation: toward Smart Manufacturing[J]. IEEE Robotics & Automation Magazine, 2015, 22(4):14-15.
[8]姚锡凡, 周佳军, 张存吉, 等. 主动制造:大数据驱动的新兴制造范式[J]. 计算机集成制造系统, 2017,23(1):172-185.
YAO Xifan, ZHOU Jiajun, ZHANG Cunji, et al.Proactive Manufacturing—a Big Data Driven Emerging Manufacturing Paradigm[J]. Computer Integrated Manufacturing Systems, 2017, 23(1): 172-185.
[9]张洁, 汪俊亮, 吕佑龙, 等. 大数据驱动的智能制造[J]. 中国机械工程, 2019,30(2):127-133.
ZHANG Jie, WANG Junliang, LYU Youlong, et al. Big Data Driven Intelligent Manufacturing[J]. China Mechanical Engineering,2019,30(2):127-133.
[10]KUSIAK A. Smart Manufacturing Must Embrace Big Data[J]. Nature, 2017, 544(7648):23-25.
[11]SIM H S. Big Data Analysis Methodology for Smart Manufacturing Systems[J]. International Journal of Precision Engineering and Manufacturing, 2019, 20(6):973-982.
[12]ZHONG R , XU C , CHEN C , et al. Big Data Analytics for Physical Internet-based Intelligent Manufacturing Shop Floors[J]. International Journal of Production Research, 2017, 55(9):2610-2621.
[13]LAI C F ,CHIEN W C , YANG L T, et al. LSTM and Edge Computing for Big Data Feature Recognition of Industrial Electrical Equipment[J]. IEEE Transactions on Industrial Informatics, 2019,15(4):2469-2477.
[14]HAN X , WANG Z , HE Y, et al. A Mission Reliability-driven Manufacturing System Health State Evaluation Method Based on Fusion of Operational Data[J]. Sensors, 2019, 19(3):442.
[15]张晨, 李嘉, 王海宁, 等. 大数据在设备健康预测和备件补货中的应用[J]. 中国机械工程, 2019, 30(2): 183-187.
ZHANG Chen, LI Jia, WANG Haining, et al. Applications of Big Data in Equipment Health Status Prediction and Spare Parts Replenishment[J]. China Mechanical Engineering,2019, 30(2): 183-187.
[16]张洁, 高亮, 秦威, 等. 大数据驱动的智能车间运行分析与决策方法体系[J]. 计算机集成制造系统, 2016, 22(5):1120-1128.
ZHANG Jie, GAO Liang, Qing Wei, et al. Big Data-driven Operational Analysis and Decision-making Methodology in Intelligent Workshop[J].Computer Integrated Manufacturing Systems, 2016,22(5):1120-1128.
[17]刘伟杰, 吉卫喜, 张朝阳. 面向智能生产维护的大数据建模分析方法[J]. 中国机械工程, 2019,30(2):159-166.
LIU Weijie, JI Weixi, ZHANG Chaoyang. Big Data Modeling Analysis Method for Intelligent Production Maintenance[J]. China Mechanical Engineering, 2019,30(2):159-166.
[18]REN S , ZHANG Y , LIU Y , et al. A Comprehensive Review of Big Data Analytics Throughout Product Lifecycle to Support Sustainable Smart Manufacturing: a Framework, Challenges and Future Research Directions[J]. Journal of Cleaner Production, 2018,210:1343-1365.
[19]姚锡凡, 雷毅, 葛动元, 等. 驱动制造业从“互联网+”走向“人工智能+”的大数据之道[J]. 中国机械工程, 2019,30(2):134-142.
YAO Xifan, LEI Yi, GE Dongyuan, et al. On Big Data Driving Manufacturing from “Internet Plus” to “AI Plus”[J]. China Mechanical Engineering, 2019, 30(2): 134-142.
[20]张雷,钟言久,袁远,等. 基于数据挖掘的绿色设计中客户需求向工程特性权重转化方法[J].中国机械工程,2019,30(2):174-182.
ZHANG Lei, ZHONG Yanjiu, YUAN Yuan, et al. Method of Transform Customer Demands to Engineering Characteristic Weights in Green Design Based on Data Mining[J].China Mechanical Engineering, 2019, 30(2): 174-182.
[21]司光耀, 王凯, 李文强, 等. 基于大数据和粗糙集的产品需求分析方法研究[J]. 工程设计学报, 2016,23(6):521-529.
SI Guangyao, WANG Kai, LI Wenqiang, et al. Research on Product Demand Analysis Method Based on Big Data and Rough Set[J]. Chinese Journal of Engineering Design, 2016, 23(6): 521-529.
[22]QI J, ZHANG Z, JEON S, et al. Mining Customer Requirements from Online Reviews: a Product Improvement Perspective[J]. Information & Management, 2016, 53(8):951-963.
[23]CHEN M, MAO S, LIU Y. Big Data:a Survey[J]. Mobile Networks and Applications,2014,19(3):171-209.
[24]李晓英, 周大涛. 企业产品开发全过程设计评价流程与方法研究[J]. 科技进步与对策, 2018,35(24):144-149.
LI Xiaoying, ZHOU Datao. Research on the Evaluation Process and Method of the Whole Process Design of Enterprise Product Development[J]. Science and Technology Progress and Policy, 2018, 35(24): 144-149.
[25]曹梅, 朱学芳. 用户信息行为的研究方法体系初探[J]. 情报理论与实践, 2010,33(1):37-40.
CAO Mei, ZHU Xuefang. A Preliminary Study on The Research Method System of User Information Behavior[J]. Information Studies:Theory and Application, 2010, 33(1): 37-40.
[26]刘智慧, 张泉灵. 大数据技术研究综述[J]. 浙江大学学报(工学版), 2014,48(6):957-972.
LIU Zhihui, ZHANG Quanling. Research Overview of Big Data Technology[J]. Journal of Zhejiang University(Engineering Science), 2014, 48(6): 957-972.
[27]ZULKARNAINN, ANSHARI M . Big Data: Concept, Applications & Challenges[C]∥2016 International Conference on Information Management and Technology. Bandung,Indonesia, 2017:307-310.
[28]张华平. NLPIR大数据语义智能分析平台[EB/OL].(2018-12-14). http:∥www.nlpir.org/wordpress.
ZHANG Huaping. NLPIR Big Data Semantic Intelligence Analysis Platform[EB/OL].(2018-12-14).http:∥www.nlpir.org/wordpress.
[29]LAW J, BAUIN S, COURTIAL J P, et al. Policy and the Mapping of Scientific Changer: a Co-word Analysis of Research into Environmental Acidification[J]. Scientometrics, 1988, 14(3/4): 251-264.
[30]刘敏娟, 张学福, 颜蕴. 基于词频、词量、累积词频占比的共词分析词集范围选取方法研究[J]. 图书情报工作, 2016, 60(23): 135-142.
LIU Minjuan, ZHANG Xuefu, YAN Yun. Research on Method of Determining Scope of Word Set in Co-word Analysis Based on Word Frequency, Number of Words,Cumulative Word Frequency in Proportion[J]. Library and Information Service, 2016, 60(23): 135-142.
[31]储节旺,郭春侠.共词分析法的基本原理及EXCEL实现[J].情报科学,2011,29(6):931-934.
CHU Jiewang, GUO Chunxia. General Principles of Co-words Analysis Method and Achieved by EXCEL[J].Information Science, 2011, 29(6):931-934.
[32]李永忠, 陈静, 谢隆腾. 共词分析法中战略坐标图的改进研究[J]. 情报理论与实践, 2019, 42(1): 65-69.
LI Yongzhong, CHENG Jing, XIE Longteng. Improvement of Strategic Diagram in the Co-word Analysis[J]. Information Studies: Theory and Application, 2019, 42(1): 65-69. |