Ausgabe 3/2024
Inhalt (25 Artikel)
Prognostics and health management for induction machines: a comprehensive review
Chao Huang, Siqi Bu, Hiu Hung Lee, Kwong Wah Chan, Winco K. C. Yung
Machine learning approach to packaging compatibility testing in the new product development process
Norbert Piotrowski
Research on digital twin monitoring system for large complex surface machining
Tian-Feng Qi, Hai-Rong Fang, Yu-Fei Chen, Li-Tao He
Powder bed monitoring via digital image analysis in additive manufacturing
A. Boschetto, L. Bottini, S. Vatanparast
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, Xintao Hu, Zenghua Fan, Jinguo Han, Yanhou Liu
Nash equilibrium as a tool for the Car Sequencing Problem 4.0
Sara Bysko, Jolanta Krystek, Andrzej Świerniak
Monitoring and control of biological additive manufacturing using machine learning
Samuel Gerdes, Aniruddha Gaikwad, Srikanthan Ramesh, Iris V. Rivero, Ali Tamayol, Prahalada Rao
Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network
Zhiwen Huang, Jiajie Shao, Jianmin Zhu, Wei Zhang, Xiaoru Li
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, Bingyuan Hong, Tobias Reggelin
Hierarchical multi-scale network for cross-scale visual defect detection
Ruining Tang, Zhenyu Liu, Yiguo Song, Guifang Duan, Jianrong Tan
A novel approach for tool condition monitoring based on transfer learning of deep neural networks using time–frequency images
Yao Li, Zhengcai Zhao, Yucan Fu, Qingliang Chen
Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model
Hongquan Gui, Jialan Liu, Chi Ma, Mengyuan Li
Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot
Yufan Zhu, Silu Chen, Chi Zhang, Zhongyu Piao, Guilin Yang
Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process
Hong-Wei Xu, Wei Qin, Yan-Ning Sun, You-Long Lv, Jie Zhang
Machining tool identification utilizing temporal 3D point clouds
Thanasis Zoumpekas, Alexander Leutgeb, Anna Puig, Maria Salamó
PreAugNet: improve data augmentation for industrial defect classification with small-scale training data
Isack Farady, Chih-Yang Lin, Ming-Ching Chang
Method for monitoring and controlling penetration of complex groove welding based on online multi-modal data
Peng Gao, Zijian Wu, Yiming Wang, Jun Lu, Zhuang Zhao
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, Eugene Olevsky, John S. Kang
Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding
Matthew Russell, Joseph Kershaw, Yujun Xia, Tianle Lv, Yongbing Li, Hassan Ghassemi-Armaki, Blair E. Carlson, Peng Wang
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
Real-time defect detection of TFT-LCD displays using a lightweight network architecture
Ping Chen, Mingfang Chen, Sen Wang, Yanjin Song, Yu Cui, Zhongping Chen, Yongxia Zhang, Songlin Chen, Xiang Mo
Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions
Xiahui Liu, Liqun Zhang, Qianwang Deng, Meng Li, Chao Jiang
DESMILS: a decision support approach for multi-item lot sizing using interactive multiobjective optimization
Adhe Kania, Bekir Afsar, Kaisa Miettinen, Juha Sipilä
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data
Javid Akhavan, Jiaqi Lyu, Souran Manoochehri