1. Prognostics and health management for induction machines: a comprehensive review

   • Chao Huang
   • Siqi Bu
   • Winco K. C. Yung

   ReviewPaper 24 March 2023 Pages: 937 - 962

   

2. Machine learning approach to packaging compatibility testing in the new product development process

   • Norbert Piotrowski

   OriginalPaper Open access 17 February 2023 Pages: 963 - 975

   

3. Research on digital twin monitoring system for large complex surface machining

   • Tian-Feng Qi
   • Hai-Rong Fang
   • Li-Tao He

   OriginalPaper 21 February 2023 Pages: 977 - 990

   

4. Powder bed monitoring via digital image analysis in additive manufacturing

   • A. Boschetto
   • L. Bottini
   • S. Vatanparast

   OriginalPaper Open access 24 February 2023 Pages: 991 - 1011

   

5. Development of grinding intelligent monitoring and big data-driven decision making expert system towards high efficiency and low energy consumption: experimental approach

   • Jinling Wang
   • Yebing Tian
   • Yanhou Liu

   OriginalPaper 26 February 2023 Pages: 1013 - 1035

   

6. Nash equilibrium as a tool for the Car Sequencing Problem 4.0

   • Sara Bysko
   • Jolanta Krystek
   • Andrzej Świerniak

   OriginalPaper Open access 26 February 2023 Pages: 1037 - 1053

   

7. Monitoring and control of biological additive manufacturing using machine learning

   • Samuel Gerdes
   • Aniruddha Gaikwad
   • Prahalada Rao

   OriginalPaper 06 March 2023 Pages: 1055 - 1077

   

8. Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network

   • Zhiwen Huang
   • Jiajie Shao
   • Xiaoru Li

   OriginalPaper 07 March 2023 Pages: 1079 - 1105

   

9. A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups

   • Funing Li
   • Sebastian Lang
   • Tobias Reggelin

   OriginalPaper Open access 09 March 2023 Pages: 1107 - 1140

   

10. Hierarchical multi-scale network for cross-scale visual defect detection

    • Ruining Tang
    • Zhenyu Liu
    • Jianrong Tan

    OriginalPaper 10 March 2023 Pages: 1141 - 1157

    

11. A novel approach for tool condition monitoring based on transfer learning of deep neural networks using time–frequency images

    • Yao Li
    • Zhengcai Zhao
    • Qingliang Chen

    OriginalPaper 14 March 2023 Pages: 1159 - 1171

    

12. Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model

    • Hongquan Gui
    • Jialan Liu
    • Mengyuan Li

    OriginalPaper 15 March 2023 Pages: 1173 - 1196

    

13. Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot

    • Yufan Zhu
    • Silu Chen
    • Guilin Yang

    OriginalPaper 21 March 2023 Pages: 1197 - 1206

    

14. Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process

    • Hong-Wei Xu
    • Wei Qin
    • Jie Zhang

    OriginalPaper 23 March 2023 Pages: 1207 - 1220

    

15. Machining tool identification utilizing temporal 3D point clouds

    • Thanasis Zoumpekas
    • Alexander Leutgeb
    • Maria Salamó

    OriginalPaper Open access 25 March 2023 Pages: 1221 - 1232

    

16. PreAugNet: improve data augmentation for industrial defect classification with small-scale training data

    • Isack Farady
    • Chih-Yang Lin
    • Ming-Ching Chang

    OriginalPaper 28 March 2023 Pages: 1233 - 1246

    

17. Method for monitoring and controlling penetration of complex groove welding based on online multi-modal data

    • Peng Gao
    • Zijian Wu
    • Zhuang Zhao

    OriginalPaper 28 March 2023 Pages: 1247 - 1265

    

18. A texture-aware one-stage fabric defect detection network with adaptive feature fusion and multi-task training

    • Bingyu Lu
    • Biqing Huang

    OriginalPaper 29 March 2023 Pages: 1267 - 1280

    

19. Automatic detection and characterization of porosities in cross-section images of metal parts produced by binder jetting using machine learning and image augmentation

    • Nicholas Satterlee
    • Elisa Torresani
    • John S. Kang

    OriginalPaper 01 April 2023 Pages: 1281 - 1303

    

20. Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding

    • Matthew Russell
    • Joseph Kershaw
    • Peng Wang

    OriginalPaper 01 April 2023 Pages: 1305 - 1319

    

21. Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average

    • Ramy M. Khalifa
    • Soumaya Yacout
    • Samuel Bassetto

    OriginalPaper 05 April 2023 Pages: 1321 - 1336

    

22. Real-time defect detection of TFT-LCD displays using a lightweight network architecture

    • Ping Chen
    • Mingfang Chen
    • Xiang Mo

    OriginalPaper 05 April 2023 Pages: 1337 - 1352

    

23. Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions

    • Xiahui Liu
    • Liqun Zhang
    • Chao Jiang

    OriginalPaper 06 April 2023 Pages: 1353 - 1372

    

24. DESMILS: a decision support approach for multi-item lot sizing using interactive multiobjective optimization

    • Adhe Kania
    • Bekir Afsar
    • Juha Sipilä

    OriginalPaper Open access 10 April 2023 Pages: 1373 - 1387

    

25. A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data

    • Javid Akhavan
    • Jiaqi Lyu
    • Souran Manoochehri

    OriginalPaper 11 April 2023 Pages: 1389 - 1406