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1.Human–Machine Relationship—Perspective and Future Roadmap for Industry 5.0 Solutions

人机关系——工业 5.0 解决方案的视角和未来路线图

http://www.mdpi.com/2075-1702/11/2/203

2.Precision Machining by Dicing Blades: A Systematic Review

切割刀片精密加工：系统综述

http://www.mdpi.com/2075-1702/11/2/259

3.A State-of-the-Art Review on Chatter Stability in Machining Thin−Walled Parts

薄壁零件加工颤振稳定性的最新进展

http://www.mdpi.com/2075-1702/11/3/359

4.Elucidating Powder-Mixed Electric Discharge Machining Process, Applicability, Trends and Futuristic Perspectives

阐明混粉电火花加工工艺、适用性、趋势和未来前景

http://www.mdpi.com/2075-1702/11/3/381

5.Lean and Industry 4.0: A Review of the Relationship, Its Limitations, and the Path Ahead with Industry 5.0

精益与工业 4.0：回顾两者之间的关系、局限性以及工业 5.0 的未来发展方向

http://www.mdpi.com/2075-1702/11/4/443

6.A Review on the Design and Application of Compliant Mechanism-Based Fast-Tool Servos for Ultraprecision Machining

基于柔性机构的超精密加工快速刀具伺服系统设计与应用综述

http://www.mdpi.com/2075-1702/11/4/450

7.Intelligent Fault Diagnosis of an Aircraft Fuel System Using Machine Learning—A Literature Review

利用机器学习对飞机燃油系统进行智能故障诊断——文献综述

http://www.mdpi.com/2075-1702/11/4/481

8.Smart Retrofit: An Innovative and Sustainable Solution

智能改造：创新且可持续的解决方案

http://www.mdpi.com/2075-1702/11/5/523

9.Bearing Current and Shaft Voltage in Electrical Machines: A Comprehensive Research Review

电机中的轴承电流和轴电压：综合研究综述

http://www.mdpi.com/2075-1702/11/5/550

10.Engineering Applications of Artificial Intelligence in Mechanical Design and Optimization人工智能在机械设计与优化中的工程应用

http://www.mdpi.com/2075-1702/11/6/577

11. Approaches for Preventing Tool Wear in Sheet Metal Forming Processes

防止金属板材成形过程中刀具磨损的方法             

http://www.mdpi.com/2075-1702/11/6/616

12. Autonomous Vehicle Decision-Making and Control in Complex and Unconventional Scenarios—A Review

复杂非常规场景下的自动驾驶汽车决策与控制——综述

https://www.mdpi.com/2075-1702/11/7/676

13.Fault Detection and Diagnosis of the Electric Motor Drive and Battery System of Electric Vehicles

电动汽车电机驱动及电池系统故障检测与诊断

http://www.mdpi.com/2075-1702/11/7/713

14.Conventional, Heuristic and Learning-Based Robot Motion Planning: Reviewing Frameworks of Current Practical Significance

传统、启发式和基于学习的机器人运动规划：回顾当前具有实际意义的框架

http://www.mdpi.com/2075-1702/11/7/722

15.Advanced Manufacturability of Electrical Machine Architecture through 3D Printing Technology

通过 3D 打印技术实现电机架构的先进可制造性

http://www.mdpi.com/2075-1702/11/9/900

• Machines 期刊介绍

主编：Antonio J. Marques Cardoso, University of Beira Interior, Portugal

主要发表机械设备故障诊断和预测、机械设计、机电一体化、机器人、叶轮机械、控制及自动化、电机和驱动器、先进制造等领域的最新学术成果。

2024 Impact Factor：2.5

2024 CiteScore：4.7

Time to First Decision：17.6 Days

Acceptance to Publication：2.7 Days

期刊主页：https://www.mdpi.com/journal/machines