Ausgabe 1/2022
Inhalt (18 Artikel)
Human-centred design in industry 4.0: case study review and opportunities for future research
Hien Nguyen Ngoc, Ganix Lasa, Ion Iriarte
Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features
Shengrui Yu, Tianfeng Zhang, Yun Zhang, Zhigao Huang, Huang Gao, Wen Han, Lih-Sheng Turng, Huamin Zhou
Online monitoring of resistance spot welding electrode wear state based on dynamic resistance
Lei Zhou, Tianjian Li, Wenjia Zheng, Zhongdian Zhang, Zhenglong Lei, Laijun Wu, Shiliang Zhu, Wenming Wang
Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies
Pulin Li, Kai Cheng, Pingyu Jiang, Kanet Katchasuwanmanee
Chatter detection for milling using novel p-leader multifractal features
Yun Chen, Huaizhong Li, Liang Hou, Xiangjian Bu, Shaogan Ye, Ding Chen
Genetic algorithm based approaches to solve the order batching problem and a case study in a distribution center
Çağla Cergibozan, A. Serdar Tasan
A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data
Ke Zhao, Hongkai Jiang, Zhenghong Wu, Tengfei Lu
Approach to derive golden paths based on machine sequence patterns in multistage manufacturing process
Chang-Ho Lee, Dong-Hee Lee, Young-Mok Bae, Seung-Hyun Choi, Ki-Hun Kim, Kwang-Jae Kim
Underdetermined blind source extraction of early vehicle bearing faults based on EMD and kernelized correlation maximization
Xuejun Zhao, Yong Qin, Changbo He, Limin Jia
Improving the accuracy of machine-learning models with data from machine test repetitions
Andres Bustillo, Roberto Reis, Alisson R. Machado, Danil Yu. Pimenov
Hierarchical multistrategy genetic algorithm for integrated process planning and scheduling
Xu Zhang, Zhixue Liao, Lichao Ma, Jin Yao
Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process
Yuqing Zhou, Bintao Sun, Weifang Sun, Zhi Lei
Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for predicting wear states during blanking
Christian Kubik, Sebastian Michael Knauer, Peter Groche
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer
Hasan Tercan, Philipp Deibert, Tobias Meisen
Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis
Matteo Bugatti, Bianca Maria Colosimo
Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study
Olumide Emmanuel Oluyisola, Swapnil Bhalla, Fabio Sgarbossa, Jan Ola Strandhagen
Deep reinforcement learning methods for structure-guided processing path optimization
Johannes Dornheim, Lukas Morand, Samuel Zeitvogel, Tarek Iraki, Norbert Link, Dirk Helm