Ausgabe 2/2021
Inhalt (18 Artikel)
A novel NURBS surface approach to statistically monitor manufacturing processes with point cloud data
Lee J. Wells, Romina Dastoorian, Jaime A. Camelio
Semi-supervised deep learning based framework for assessing manufacturability of cellular structures in direct metal laser sintering process
Yilin Guo, Wen Feng Lu, Jerry Ying Hsi Fuh
Modular neural networks for quality of transmission prediction in low-margin optical networks
Masoud Vejdannik, Ali Sadr
Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization
Dengyu Xiao, Chengjin Qin, Honggan Yu, Yixiang Huang, Chengliang Liu
Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery
Wo Jae Lee, Kevin Xia, Nancy L. Denton, Bruno Ribeiro, John W. Sutherland
A case study of conditional deep convolutional generative adversarial networks in machine fault diagnosis
Jia Luo, Jinying Huang, Hongmei Li
A discrete differential evolution algorithm for flow shop group scheduling problem with sequence-dependent setup and transportation times
Shuaipeng Yuan, Tieke Li, Bailin Wang
A deep convolution generative adversarial networks based fuzzing framework for industry control protocols
Wanyou Lv, Jiawen Xiong, Jianqi Shi, Yanhong Huang, Shengchao Qin
Reinforcement learning-based collision-free path planner for redundant robot in narrow duct
Xiaotong Hua, Guolei Wang, Jing Xu, Ken Chen
Data mining for fast and accurate makespan estimation in machining workshops
Lixin Cheng, Qiuhua Tang, Zikai Zhang, Shiqian Wu
VREDI: virtual representation for a digital twin application in a work-center-level asset administration shell
Kyu Tae Park, Jinho Yang, Sang Do Noh
Preventive maintenance scheduling optimization based on opportunistic production-maintenance synchronization
Li Li, Yong Wang, Kuo-Yi Lin
Metaheuristics for the template design problem: encoding, symmetry and hybridisation
David Rodríguez Rueda, Carlos Cotta, Antonio J. Fernández-Leiva
A cyber-physical system deployment based on pull strategies for one-of-a-kind production with limited resources
Guodong Huang, Jie Chen, Yacob Khojasteh
Concurrent optimization of process parameters and product design variables for near net shape manufacturing processes
Daniele Marini, Jonathan R. Corney
Use of acoustic emission in combination with machine learning: monitoring of gas–liquid mixing in stirred tanks
Giuseppe Forte, Federico Alberini, Mark Simmons, Hugh E. Stitt