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Research on Machine Tool Fault Diagnosis and Maintenance Optimization in intelligent manufacturing Environments

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Journal of Electronic Research and Application 2024年第4期8卷 108-114页

作者： Feiyang Cao Zhengzhou Business University Zhengzhou 451200China

In the context of intelligent manufacturing,machine tools,as core equipment,directly influence production efficiency and product quality through their operational *** maintenance methods for machine tools,often characterized by low efficiency and high costs,fail to meet the demands of modern manufacturing ***,leveraging intelligent manufacturing technologies,this paper proposes a solution optimized for the diagnosis and maintenance of machine tool ***,the paper introduces sensor-based data acquisition technologies combined with big data analytics and machine learning algorithms to achieve intelligent fault diagnosis of machine ***,it discusses predictive maintenance strategies by establishing an optimized model for maintenance strategy and resource allocation,thereby enhancing maintenance efficiency and reducing ***,the paper explores the architectural design,integration,and testing evaluation methods of intelligent manufacturing *** study indicates that optimization of machine tool fault diagnosis and maintenance in an intelligent manufacturing environment not only enhances equipment reliability but also significantly reduces maintenance costs,offering broad application prospects.

关键词： intelligent manufacturing Machine tool fault diagnosis Predictive maintenance Big data Machine learning System integration

Research on the Design and Application of Virtual and Real Integrated Training Platform Based on intelligent manufacturing

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Journal of Electronic Research and Application 2024年第3期8卷 34-41页

作者： Xiayun Liu Dakang Li Xuan Liang Lingfang Wu Guangxi Science&Technology Normal University Laibin 546199China

In this paper,we built a robot training platform using virtual simulation software,and the robot assembly,handling,and palletizing were *** workstation includes an industrial robot,gas control unit,track function module,assembly function module,palletizing function module,vision module,etc.,and robot movement is achieved through language *** platform provides conditions for the practical ability training of application-oriented talents.

关键词： intelligent manufacturing Training platform Virtual simulation

intelligent manufacturing in the Context of Industry 4.0： A Review

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Engineering 2017年第5期3卷 616-630页

作者： Ray Y. Zhong Xun Xu Eberhard Klotz Stephen T. Newman Department of Mechanical Engineering The University of Auckland Auckland 1142 New Zealand Industry 4.0 Campaign Festo AG & Co. KG Esslingen F3726 Germany Department of Mechanical Engineering University of Bath Bath BA2 7AY UK

Our next generation of industry-lndustry 4.0-holds the promise of increased flexibility in manufacturing, along with mass customization, better quality, and improved productivity. It thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. intelligent manufacturing plays an important role in Industry 4.0. Typical resources are converted into intelligent objects so that they are able to sense, act, and behave within a smart environment. In order to fully understand intelligent manufacturing in the context of Industry 4.0, this paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things （IoT）- enabled manufacturing, and cloud manufacturing. Similarities and differences in these topics are highlighted based on our analysis. We also review key technologies such as the loT, cyber-physical systems （CPSs）, cloud computing, big data analytics （BDA）, and information and communications technology （ICT） that are used to enable intelligent manufacturing. Next, we describe worldwide movements in intelligent manufacturing, including governmental strategic plans from different countries and strategic plans from major international companies in the European Union, United States, Japan, and China. Finally, we present current challenges and future research directions. The concepts discussed in this paper will spark new ideas in the effort to realize the much-anticipated Fourth Industrial Revolution.

关键词： intelligent manufacturing Industry 4.0 Internet of Things manufacturing systems Cloud manufacturing Cyber-physical system

intelligent manufacturing for the Process Industry Driven by Industrial Artificial Intelligence

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Engineering 2021年第9期7卷 1224-1230页

作者： Tao Yang Xinlei Yi Shaowen Lu Karl HJohansson Tianyou Chai State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110819China School of Electrical Engineering and Computer Science KTH Royal Institute of TechnologyStockholm 10044Sweden

Based on the analysis of the characteristics and operation status of the process industry,as well as the development of the global intelligent manufacturing industry,a new mode of intelligent manufacturing for the process industry,namely,deep integration of industrial artificial intelligence and the Industrial Internet with the process industry,is *** paper analyzes the development status of the existing three-tier structure of the process industry,which consists of the enterprise resource planning,the manufacturing execution system,and the process control system,and examines the decision-making,control,and operation management adopted by process *** on this analysis,it then describes the meaning of an intelligent manufacturing framework and presents a vision of an intelligent optimal decision-making system based on human–machine cooperation and an intelligent autonomous control ***,this paper analyzes the scientific challenges and key technologies that are crucial for the successful deployment of intelligent manufacturing in the process industry.

关键词： Industrial artificial intelligence Industrial Internet intelligent manufacturing Process industry

Knowledge expression,numerical modeling and optimization application of ethylene thermal cracking:From the perspective of intelligent manufacturing

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Chinese Journal of Chemical Engineering 2021年第10期34卷 1-17页

作者： Kexin Bi Shuyuan Zhang Chen Zhang Haoran Li Xinye Huang Haoyu Liu Tong Qiu Beijing Key Laboratory of Industrial Big Data System and Application Department of Chemical EngineeringTsinghua UniversityBeijing 100084China

Applications of process systems engineering(PSE)in plants and enterprises are boosting industrial reform from automation to digitization and *** ethylene thermal cracking,knowledge expression,numerical modeling and intelligent optimization are key steps for intelligent *** paper provides an overview of progress and contributions to the PSE-aided production of thermal cracking;introduces the frameworks,methods and algorithms that have been proposed over the past10 years and discusses the advantages,limitations and applications in industrial *** entire set of molecular-level modeling approaches from feedstocks to products,including feedstock molecular reconstruction,reaction-network auto-generation and cracking unit simulation are *** control and optimization methods are exhibited,including at the operational,cycle,plant and enterprise *** software packages are ***,an outlook in terms of future directions is presented.

关键词： Ethylene thermal cracking PSE intelligent manufacturing Molecularization and digitization Modeling and optimization

Digital twin-based sustainable intelligent manufacturing: a review

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Advances in manufacturing 2021年第1期9卷 1-21页

作者： Bin He Kai-Jian Bai Shanghai Key Laboratory of intelligent manufacturing and Robotics School of Mechatronic Engineering and AutomationShanghai UniversityShanghai 200444People's Republic of China

As the next-generation manufacturing system,intelligent manufacturing enables better quality,higher productivity,lower cost,and increased manufacturing *** concept of sustainability is receiving increasing attention,and sustainable manufacturing is *** digital twin is an emerging technology used in intelligent manufacturing that can grasp the state of intelligent manufacturing systems in real-time and predict system *** intelligent manufacturing based on a digital twin has advantages in practical *** fully understand the intelligent manufacturing that provides the digital twin,this study reviews both technologies and discusses the sustainability of intelligent ***,the relevant content of intelligent manufacturing,including intelligent manufacturing equipment,systems,and services,is *** addition,thesustainability of intelligent manufacturing is ***,a digital twin and its application are introduced along with the development of intelligent manufacturing based on the digital twin ***,combined with the current status,the future development direction of intelligent manufacturing is presented.

关键词： intelligent manufacturing Digital twin Advanced manufacturing Industry 4.0 Sustainable manufacturing

Smart manufacturing and intelligent manufacturing:A Comparative Review

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Engineering 2021年第6期7卷 738-757页

作者： Baicun Wang Fei Tao Xudong Fang Chao Liu Yufei Liu Theodor Freiheit State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical EngineeringZhejiang UniversityHangzhou 310027China Department of Mechanical Engineering University of MichiganAnn ArborMI 48109USA Chinese Academy of Engineering Beijing 100088China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China School of Mechanical Engineering Xi’an Jiaotong UniversityXi’an 710049China School of Engineering Cardiff UniversityCardiff CF243AAUK

The application of intelligence to manufacturing has emerged as a compelling topic for researchers and industries around the ***,different terminologies,namely smart manufacturing(SM)and intelligent manufacturing(IM),have been applied to what may be broadly characterized as a similar paradigm by some researchers and *** SM and IM are similar,they are not *** an evolutionary perspective,there has been little consideration on whether the definition,thought,connotation,and technical development of the concepts of SM or IM are consistent in the *** address this gap,the work performs a qualitative and quantitative investigation of research literature to systematically compare inherent differences of SM and IM and clarify the relationship between SM and IM.A bibliometric analysis of publication sources,annual publication numbers,keyword frequency,and top regions of research and development establishes the scope and trends of the currently presented *** topics discussed include origin,definitions,evolutionary path,and key technologies of SM and *** implementation architecture,standards,and national focus are also *** this work,a basis to understand SM and IM is provided,which is increasingly important because the trend to merge both terminologies rises in Industry 4.0 as intelligence is being rapidly applied to modern manufacturing and human–cyber–physical systems.

关键词： Smart manufacturing intelligent manufacturing Industry 4.0 Human–cyber–physical system(HCPS)

Toward intelligent manufacturing: label characters marking and recognition method for steel products with machine vision

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Advances in manufacturing 2014年第1期2卷 3-12页

作者： Qi-Jie Zhao Peng Cao Da-Wei Tu School of Mechatronics Engineering and Automation Shanghai Key Laboratory of Intelligent Manufacturing and RoboticsShanghai university

Correctly coding materials and identifying characters marked on materials are very important for steel manufacturing industry to realize informatization management and intelligent manufacturing. However, the steel products manufacturing is often in a high temperature environment, and there are a lot of material storage and retrieval processes, workers are not easily close to the environment and complete tasks, so it is a great challenge to automatically mark and identify characters on the steel products. This paper presents a framework of label characters marking and management for steel materials, furthermore, a kind of marked characters online detection and tracking method has been provided based on machine vision. In addition, some experiments have been done in BaoSteel to mark characters on hot billets and recognize them in multi situations, and the results show that the proposed method is practical, and has provided a helpful exploration in obtaining accurate fundamental data for the intelligent manufacturing system in steelworks.

关键词： intelligent manufacturing Enterprisesinformatization Label character marking Machinevision Marked character recognition

Modeling of Agile intelligent manufacturing-oriented Production Scheduling System

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International Journal of Automation and computing 2010年第4期7卷 596-602页

作者： Zhong-Qi Sheng Chang-Ping Tang Ci-Xing Lv School of Mechanical Engineering and Automation Northeastern University Shenyang 110004 PRC Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 PRC

Agile intelligent manufacturing is one of the new manufacturing paradigms that adapt to the fierce globalizing market competition and meet the survival needs of the enterprises, in which the management and control of the production system have surpassed the scope of individual enterprise and embodied some new features including complexity, dynamicity, distributivity, and compatibility. The agile intelligent manufacturing paradigm calls for a production scheduling system that can support the cooperation among various production sectors, the distribution of various resources to achieve rational organization, scheduling and management of production activities. This paper uses multi-agents technology to build an agile intelligent manufacturing-oriented production scheduling system. Using the hybrid modeling method, the resources and functions of production system are encapsulated, and the agent-based production system model is established. A production scheduling-oriented multi-agents architecture is constructed and a multi-agents reference model is given in this paper.

关键词： Agile manufacturing intelligent manufacturing production scheduling system modeling agent technology