人工智能在智能制造中的应用：方法与应用。
Artificial Intelligence for Smart Manufacturing: Methods and Applications.
机构信息
GEMTEX Textile Research Laboratory, ENSAIT, University of Lille, 59000 Lille, France.
出版信息
Sensors (Basel). 2021 Aug 19;21(16):5584. doi: 10.3390/s21165584.
Abstract
The term Industry 4.0 has become increasingly pervasive in the context of industrial manufacturing and it has been considered the fourth industrial revolution (Henning [1]) [...].
摘要
术语“工业 4.0”在工业制造领域越来越普及，它被认为是第四次工业革命（Henning [1]）[... ]。
相似文献
1
Artificial Intelligence for Smart Manufacturing: Methods and Applications.人工智能在智能制造中的应用：方法与应用。
Sensors (Basel). 2021 Aug 19;21(16):5584. doi: 10.3390/s21165584.
2
Standard Connections for IIoT Empowered Smart Manufacturing.工业物联网赋能智能制造的标准连接
Manuf Lett. 2020 Oct;26. doi: 10.1016/j.mfglet.2020.08.006.
3
Smart materials: rational design in biosystems via artificial intelligence.智能材料：通过人工智能在生物系统中的合理设计。
Trends Biotechnol. 2022 Aug;40(8):987-1003. doi: 10.1016/j.tibtech.2022.01.005. Epub 2022 Feb 28.
4
An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications.基于人工智能的工业物联网制造协作方法：关键概念、架构扩展和潜在应用。
Sensors (Basel). 2020 Sep 24;20(19):5480. doi: 10.3390/s20195480.
5
The Fourth Industrial Revolution - Smart Technology, Artificial Intelligence, Robotics and Algorithms: Industrial Psychologists in Future Workplaces.第四次工业革命——智能技术、人工智能、机器人技术与算法：未来工作场所中的工业心理学家。
Front Artif Intell. 2022 Jul 6;5:913168. doi: 10.3389/frai.2022.913168. eCollection 2022.
6
Refinery 4.0, a Review of the Main Challenges of the Industry 4.0 Paradigm in Oil & Gas Downstream.炼化 4.0：油气下游工业 4.0 范式的主要挑战综述
Sensors (Basel). 2022 Nov 25;22(23):9164. doi: 10.3390/s22239164.
7
Industry 4.0 for pharmaceutical manufacturing: Preparing for the smart factories of the future.制药制造业的工业4.0：为未来的智能工厂做准备。
Int J Pharm. 2021 Jun 1;602:120554. doi: 10.1016/j.ijpharm.2021.120554. Epub 2021 Mar 29.
8
Disability in the Fourth Industrial Revolution.第四次工业革命中的残疾问题。
Dev Med Child Neurol. 2019 Sep;61(9):993. doi: 10.1111/dmcn.14296.
9
Is COVID-19 pushing us to the Fifth Industrial Revolution (Society 5.0)?新冠疫情正在将我们推向第五次工业革命（社会5.0）吗？
Pak J Med Sci. 2021 Mar-Apr;37(2):591-594. doi: 10.12669/pjms.37.2.3387.
10
[Preface for special issue on industrial microorganisms: innovation and breakthrough (2021)].[工业微生物学特刊前言：创新与突破（2021年）]
Sheng Wu Gong Cheng Xue Bao. 2021 Mar 25;37(3):801-805. doi: 10.13345/j.cjb.210197.
引用本文的文献
1
Predictive modelling framework on the basis of artificial neural network: A case of nano-powder mixed electric discharge machining.基于人工神经网络的预测建模框架：以纳米粉末混合电火花加工为例。
Heliyon. 2023 Nov 23;9(12):e22508. doi: 10.1016/j.heliyon.2023.e22508. eCollection 2023 Dec.
2
Realization of Forest Internet of Things Using Wireless Network Communication Technology of Low-Power Wide-Area Network.利用低功耗广域网无线网络通信技术实现森林物联网。
Sensors (Basel). 2023 May 16;23(10):4809. doi: 10.3390/s23104809.
本文引用的文献
1
Deep Convolutional Clustering-Based Time Series Anomaly Detection.基于深度卷积聚类的时间序列异常检测。
Sensors (Basel). 2021 Aug 15;21(16):5488. doi: 10.3390/s21165488.
2
Estimation of Tool Wear and Surface Roughness Development Using Deep Learning and Sensors Fusion.基于深度学习和传感器融合的刀具磨损和表面粗糙度发展估计。
Sensors (Basel). 2021 Aug 7;21(16):5338. doi: 10.3390/s21165338.
3
Product Inspection Methodology via Deep Learning: An Overview.基于深度学习的产品检测方法综述。
Sensors (Basel). 2021 Jul 25;21(15):5039. doi: 10.3390/s21155039.
4
Use of Long Short-Term Memory for Remaining Useful Life and Degradation Assessment Prediction of Dental Air Turbine Handpiece in Milling Process.基于长短时记忆网络的牙科手机在铣削过程中剩余使用寿命和退化评估预测。
Sensors (Basel). 2021 Jul 22;21(15):4978. doi: 10.3390/s21154978.
5
Printed Circuit Board Defect Detection Using Deep Learning via A Skip-Connected Convolutional Autoencoder.基于跳跃连接卷积自动编码器的深度学习在印刷电路板缺陷检测中的应用
Sensors (Basel). 2021 Jul 21;21(15):4968. doi: 10.3390/s21154968.
6
Towards Semantic Integration of Machine Vision Systems to Aid Manufacturing Event Understanding.迈向机器视觉系统的语义集成，以辅助制造事件的理解。
Sensors (Basel). 2021 Jun 22;21(13):4276. doi: 10.3390/s21134276.
7
Development of an Intelligent Data-Driven System to Recommend Personalized Fashion Design Solutions.开发一个智能数据驱动系统，以推荐个性化的时装设计解决方案。
Sensors (Basel). 2021 Jun 21;21(12):4239. doi: 10.3390/s21124239.
8
Intelligent Decision-Making of Scheduling for Dynamic Permutation Flowshop via Deep Reinforcement Learning.基于深度强化学习的动态置换流水车间调度智能决策
Sensors (Basel). 2021 Feb 2;21(3):1019. doi: 10.3390/s21031019.
9
Online Color Classification System of Solid Wood Flooring Based on Characteristic Features.基于特征的实木地板在线颜色分类系统。
Sensors (Basel). 2021 Jan 6;21(2):336. doi: 10.3390/s21020336.
10
Real-Time Monitoring for Hydraulic States Based on Convolutional Bidirectional LSTM with Attention Mechanism.基于卷积双向长短期记忆网络与注意力机制的液压状态实时监测
Sensors (Basel). 2020 Dec 11;20(24):7099. doi: 10.3390/s20247099.
Zotero 插件