Journal: J. Intelligent Manufacturing

Volume 33, Issue 8

2193 -- 2205Wai Sze Yip, Suet To, Hongting Zhou. Current status, challenges and opportunities of sustainable ultra-precision manufacturing
2207 -- 2222Jinyang Jiao, Ming Zhao 0006, Jing Lin 0001, Kaixuan Liang, Chuancang Ding. A mixed adversarial adaptation network for intelligent fault diagnosis
2223 -- 2238Wangwang Huang, Xuesong Mei, Gedong Jiang, Dongxiang Hou, Yifei Bi, Yuyan Wang. An on-machine tool path generation method based on hybrid and local point cloud registration for laser deburring of ceramic cores
2239 -- 2256Yong Ren, Qian Wang. Gaussian-process based modeling and optimal control of melt-pool geometry in laser powder bed fusion
2257 -- 2275Abtin Djavadifar, John Brandon Graham-Knight, Marian Krber, Patricia Lasserre, Homayoun Najjaran. Automated visual detection of geometrical defects in composite manufacturing processes using deep convolutional neural networks
2277 -- 2294Ning Ge 0002, Guanghao Li, Li Zhang 0029, Yi Liu. Failure prediction in production line based on federated learning: an empirical study
2295 -- 2306Liqiao Xia, Pai Zheng, Xiao Huang, Chao Liu. A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization
2307 -- 2320Jorge L. Alonso-Perez, Selene L. Cardenas-Maciel, Balter Trujillo-Navarrete, Edgar A. Reynoso-Soto, Nohé R. Cázarez-Castro. An approach for designing smart manufacturing for the research and development of dye-sensitize solar cell
2321 -- 2339Dayuan Wu, Ping Yan, You Guo, Han Zhou, Jian Chen. A gear machining error prediction method based on adaptive Gaussian mixture regression considering stochastic disturbance
2341 -- 2355Kuo Lu, Jin Xie, Risen Wang, Lei Li, Wenzhe Li, Yuning Jiang. A closed-loop intelligent adjustment of process parameters in precise and micro hot-embossing using an in-process optic detection
2357 -- 2369Chih-Kai Cheng, Hung-Yin Tsai. Enhanced detection of diverse defects by developing lighting strategies using multiple light sources based on reinforcement learning
2371 -- 2392Slim Zidi, Nadia Hamani, Lyes Kermad. New metrics for measuring supply chain reconfigurability
2393 -- 2407Aman Kumar, Binil Starly. "FabNER": information extraction from manufacturing process science domain literature using named entity recognition
2409 -- 2439Kyu Tae Park, Sang Ho Lee, Sang Do Noh. Information fusion and systematic logic library-generation methods for self-configuration of autonomous digital twin
2441 -- 2455Shixu Sun, Xiaofeng Hu, Yingchao Liu. An imbalanced data learning method for tool breakage detection based on generative adversarial networks
2457 -- 2470Yinhua Liu, Wenzheng Zhao, Tim Lutz, Xiaowei Yue. Task allocation and coordinated motion planning for autonomous multi-robot optical inspection systems
2471 -- 2486Mohamed Ismail, Noha A. Mostafa, Ahmed El-Assal. Quality monitoring in multistage manufacturing systems by using machine learning techniques
2487 -- 0. Retraction Note: economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles

Volume 33, Issue 7

1879 -- 1905Hasan Tercan, Tobias Meisen. Machine learning and deep learning based predictive quality in manufacturing: a systematic review
1907 -- 1919Max Schwenzer, Sebastian Stemmler, Muzaffer Ay, Adrian Karl Rüppel, Thomas Bergs, Dirk Abel. Model predictive force control in milling based on an ensemble Kalman filter
1921 -- 1937Eliana Giovannitti, Sayyid Shahab Nabavi, Giovanni Squillero, Alberto Tonda. A virtual sensor for backlash in robotic manipulators
1939 -- 1966Shahed Mahmud, Ripon K. Chakrabortty, Alireza Abbasi, Michael J. Ryan. Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems
1967 -- 1989A. Costa, Gianluca Buffa, D. Palmeri, G. Pollara, Livan Fratini. Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy
1991 -- 2012Andrzej Maciol, Piotr Maciol. The use of Fuzzy rule-based systems in the design process of the metallic products on example of microstructure evolution prediction
2013 -- 2025Marco Brysch, Mohammad Bahar, Hans Christoph Hohensee, Michael Sinapius. Single system for online monitoring and inspection of automated fiber placement with object segmentation by artificial neural networks
2027 -- 2043Christopher Hagedorn, Johannes Huegle, Rainer Schlosser. Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning
2045 -- 2057Gianluca Trotta, Stefania Cacace, Quirico Semeraro. Process optimization via confidence region: a case study from micro-injection molding
2059 -- 2073Jelle Adan. A hybrid genetic algorithm for parallel machine scheduling with setup times
2075 -- 2092Martin Szarski, Sunita Chauhan. An unsupervised defect detection model for a dry carbon fiber textile
2093 -- 2117Aniruddha Gaikwad, Tammy Chang, Brian Giera, Nicholas Watkins, Saptarshi Mukherjee, Andrew Pascall, David Stobbe, Prahalada Rao. In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning
2119 -- 2128Michael Beck, Michael Layh, Markus Nebauer, Bernd R. Pinzer. A novel tracking system for the iron foundry field based on deep convolutional neural networks
2129 -- 2142Patrick Link, Miltiadis Poursanidis, Jochen Schmid, Rebekka Zache, Martin von Kurnatowski, Uwe Teicher, Steffen Ihlenfeldt. Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing
2143 -- 2155Philipp Niemietz, Mia J. K. Kornely, Daniel Trauth, Thomas Bergs. Relating wear stages in sheet metal forming based on short- and long-term force signal variations
2157 -- 2165Marius Wenning, Anton Akira Backhaus, Tobias Adlon, Peter Burggräf. Testing the reliability of monocular obstacle detection methods in a simulated 3D factory environment
2167 -- 2178Nishant Ojal, Brian Giera, Kyle T. Devlugt, Adam W. Jaycox, Alexander Blum. A universal method to compare parts from STEP files
2179 -- 2191Jian Qin, Yipeng Wang, Jialuo Ding, Stewart Williams. Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning

Volume 33, Issue 6

1561 -- 1579David Cemernek, Sandra Cemernek, Heimo Gursch, Ashwini Pandeshwar, Thomas Leitner, Matthias Berger, Gerald Klösch, Roman Kern. Machine learning in continuous casting of steel: a state-of-the-art survey
1581 -- 1601Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori, Owusu Nyarko-Boateng. Applications of artificial intelligence in engineering and manufacturing: a systematic review
1603 -- 1638Farzana Zahid, Awais Tanveer, Matthew M. Y. Kuo, Roopak Sinha. A systematic mapping of semi-formal and formal methods in requirements engineering of industrial Cyber-Physical systems
1639 -- 1647Hongjian Wu, Shaowu Liu, Xinliang Xie, Yicha Zhang, Hanlin Liao, Sihao Deng. A framework for a knowledge based cold spray repairing system
1649 -- 1663Xinyu Suo, Jian Liu 0002, Licheng Dong, Shengfeng Chen, Enhui Lu, Chen Ning. A machine vision-based defect detection system for nuclear-fuel rod groove
1665 -- 1680Shanmugasivam Pillai, Prahlad Vadakkepat. Deep learning for machine health prognostics using Kernel-based feature transformation
1681 -- 1698Xin Ni, Ahmed Samet, Denis Cavallucci. Similarity-based approach for inventive design solutions assistance
1699 -- 1713Yanning Sun, Wei Qin, Zilong Zhuang. Nonparametric-copula-entropy and network deconvolution method for causal discovery in complex manufacturing systems
1715 -- 1724Tae-San Kim, Jong-Wook Lee, Won Kyung Lee, So Young Sohn. Novel method for detection of mixed-type defect patterns in wafer maps based on a single shot detector algorithm
1725 -- 1746Zhao Peng, Huan Zhang, Hongtao Tang, Yue Feng, Weiming Yin. Research on flexible job-shop scheduling problem in green sustainable manufacturing based on learning effect
1747 -- 1759Minyoung Lee, Joohyoung Jeon, Hongchul Lee. Explainable AI for domain experts: a post Hoc analysis of deep learning for defect classification of TFT-LCD panels
1761 -- 1777Seokgi Lee, Hyun Woo Jeon, Mona Issabakhsh, Ahmad Ebrahimi. An electric forklift routing problem with battery charging and energy penalty constraints
1779 -- 1794Angel-Iván García-Moreno. A fast method for monitoring molten pool in infrared image streams using gravitational superpixels
1795 -- 1812Mustufa Haider Abidi, Hisham Alkhalefah, Usama Umer. Fuzzy harmony search based optimal control strategy for wireless cyber physical system with industry 4.0
1813 -- 1828Yunhan Kim, Taekyum Kim, Byeng D. Youn, Sung-Hoon Ahn. Machining quality monitoring (MQM) in laser-assisted micro-milling of glass using cutting force signals: an image-based deep transfer learning
1829 -- 1841Zheng Xiao, Zhenan Wang, Deng Liu, Hui Wang. A path planning algorithm for PCB surface quality automatic inspection
1843 -- 1858Hong-Seok Park, Dinh Son Nguyen, Thai Le-Hong, Xuan Van Tran. Machine learning-based optimization of process parameters in selective laser melting for biomedical applications
1859 -- 1877Madhusudanan Navinchandran, Michael Sharp, Michael P. Brundage, Thurston Sexton. Discovering critical KPI factors from natural language in maintenance work orders

Volume 33, Issue 5

1189 -- 1207Chia-Yen Lee, Chen-Fu Chien. Pitfalls and protocols of data science in manufacturing practice
1209 -- 1227Mouhamadou Mansour Mbow, Christelle Grandvallet, Frédéric Vignat, Philippe Rene Marin, Nicolas Perry, Franck Pourroy. Mathematization of experts knowledge: example of part orientation in additive manufacturing
1229 -- 1253Yiying Zhang, Zhigang Jin. Comprehensive learning Jaya algorithm for engineering design optimization problems
1255 -- 1271Jinping Liu, Jie Wang, Xianfeng Liu, Tianyu Ma, ZhaoHui Tang. MWRSPCA: online fault monitoring based on moving window recursive sparse principal component analysis
1273 -- 1336Raghav Prasad Parouha, Pooja Verma. An innovative hybrid algorithm for bound-unconstrained optimization problems and applications
1337 -- 1354Lenin Nagarajan, Siva Kumar Mahalingam, Jayakrishna Kandasamy, Selvakumar Gurusamy. A novel approach in selective assembly with an arbitrary distribution to minimize clearance variation using evolutionary algorithms: a comparative study
1355 -- 1372Mingxing Li, Ray Y. Zhong, Ting Qu, George Q. Huang. Spatial-temporal out-of-order execution for advanced planning and scheduling in cyber-physical factories
1373 -- 1392Feiyang Li, Nian Cai, Xueliang Deng, Jiahao Li, Jianfa Lin, Han Wang 0001. Serial number inspection for ceramic membranes via an end-to-end photometric-induced convolutional neural network framework
1393 -- 1417Sinan Uguz, Osman Ipek. Prediction of the parameters affecting the performance of compact heat exchangers with an innovative design using machine learning techniques
1419 -- 1432Runquan Xiao, Yanling Xu, Zhen Hou, Chao Chen, Shanben Chen. An automatic calibration algorithm for laser vision sensor in robotic autonomous welding system
1433 -- 1450Galina A. Samigulina, Zarina I. Samigulina. Diagnostics of industrial equipment and faults prediction based on modified algorithms of artificial immune systems
1451 -- 1465Reza Vatankhah Barenji. A blockchain technology based trust system for cloud manufacturing
1467 -- 1482Chunyang Xia, Zengxi Pan, Joseph Polden, Huijun Li, Yanling Xu, Shanben Chen. Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning
1483 -- 1502Yu Wang, Mingkai Zhang, Xiaowei Tang, Fangyu Peng, Rong Yan. A kMap optimized VMD-SVM model for milling chatter detection with an industrial robot
1503 -- 1519Shirine El Zaatari, Yuqi Wang, Yudie Hu, Weidong Li. An improved approach of task-parameterized learning from demonstrations for cobots in dynamic manufacturing
1521 -- 1530Yuanju Qu, Zengtao Hou. Degradation principle of machines influenced by maintenance
1531 -- 1544Mohamed Elhefnawy, Ahmed Ragab, Mohamed-Salah Ouali. Fault classification in the process industry using polygon generation and deep learning
1545 -- 1560Penglei Dai, Mahdi Hassan, Xuerong Sun, Ming Zhang, Zhengwei Bian, Dikai Liu. A framework for multi-robot coverage analysis of large and complex structures

Volume 33, Issue 4

911 -- 927Constantin Waubert de Puiseau, Richard Meyes, Tobias Meisen. On reliability of reinforcement learning based production scheduling systems: a comparative survey
929 -- 942Jingran Liang, Zhengning Wu, Chenye Zhu, Zhi-Hai Zhang. An estimation distribution algorithm for wave-picking warehouse management
943 -- 952Zengya Zhao, Sibao Wang, Zehua Wang, Shilong Wang, Chi Ma, Bo Yang 0042. Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining
953 -- 972Junqi Liu, Zeqiang Zhang, Feng Chen, Silu Liu, Lixia Zhu. A novel hybrid immune clonal selection algorithm for the constrained corridor allocation problem
973 -- 983Huanjie Wang, Xiwei Bai, Jie Tan, Jiechao Yang. Deep prototypical networks based domain adaptation for fault diagnosis
985 -- 994Asli Çelik, Ayhan Küçükmanisa, Aydin Sümer, Aysun Tasyapi Çelebi, Oguzhan Urhan. A real-time defective pixel detection system for LCDs using deep learning based object detectors
995 -- 1005Heqi Xu, Qingyang Liu, Jazzmin Casillas, Mei Mcanally, Noshin Mubtasim, Lauren S. Gollahon, Dazhong Wu, Changxue Xu. Prediction of cell viability in dynamic optical projection stereolithography-based bioprinting using machine learning
1007 -- 1020Saksham Jain, Gautam Seth, Arpit Paruthi, Umang Soni, Girish Kumar. Synthetic data augmentation for surface defect detection and classification using deep learning
1021 -- 1030Robson Flavio Castro, Moacir Godinho Filho, Roberto Fernandes Tavares Neto. Dispatching method based on particle swarm optimization for make-to-availability
1031 -- 1055Rubén Medina, Jean-Carlo Macancela, Pablo Lucero, Diego Cabrera, René-Vinicio Sánchez, Mariela Cerrada. Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM
1057 -- 1072Yi Zhang, Peng Peng, Chongdang Liu, Yanyan Xu, Heming Zhang. A sequential resampling approach for imbalanced batch process fault detection in semiconductor manufacturing
1073 -- 1086Jingchao Jiang, Yi Xiong, Zhiyuan Zhang, David W. Rosen. Machine learning integrated design for additive manufacturing
1087 -- 1098Matthias Kaltenbrunner, Maria Anna Huka, Manfred Gronalt. Heuristic based approach for short term production planning in highly automated customer oriented pallet production
1099 -- 1123Tobias Schlosser, Michael Friedrich 0005, Frederik Beuth, Danny Kowerko. Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks
1125 -- 1138Patrick G. Mongan, Vedant Modi, John Mclaughlin, Eoin P. Hinchy, Ronan M. O'Higgins, Noel P. O'Dowd, Conor T. McCarthy. Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning
1139 -- 1163Baifan Zhou, Tim Pychynski, Markus Reischl, Evgeny Kharlamov, Ralf Mikut. Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding
1165 -- 1180Haochen Mu, Joseph Polden, Yuxing Li, Fengyang He, Chunyang Xia, Zengxi Pan. Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures
1181 -- 1188XiuLi Wu, Junjian Peng, Xiao Xiao, Shaomin Wu. Correction to: An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading

Volume 33, Issue 3

637 -- 638Andrew Kusiak. Universal manufacturing: data, resiliency, and sustainability linkages
639 -- 674Fernando José Gómez Paredes, Moacir Godinho Filho, Matthias Thürer, Nuno O. Fernandes, Charbel José Chiappetta Jabbour. Factors for choosing production control systems in make-to-order shops: a systematic literature review
675 -- 685Yanan Pan, Renke Kang, Zhigang Dong, Wenhao Du, Sen Yin, Yan Bao. On-line prediction of ultrasonic elliptical vibration cutting surface roughness of tungsten heavy alloy based on deep learning
687 -- 702Jingchang Li, Longchao Cao, Jiexiang Hu, Minhua Sheng, Qi Zhou 0006, Peng Jin. A prediction approach of SLM based on the ensemble of metamodels considering material efficiency, energy consumption, and tensile strength
703 -- 718Abdelhakim Khatab, Claver Diallo, El Houssaine Aghezzaf, Uday Venkatadri. Optimization of the integrated fleet-level imperfect selective maintenance and repairpersons assignment problem
719 -- 734Omar Ezzat, Khaled Medini, Xavier Boucher, Xavier Delorme. A clustering approach for modularizing service-oriented systems
735 -- 751Yankai Wang, Shilong Wang, Bo Yang 0042, Bo Gao, Sibao Wang. An effective adaptive adjustment method for service composition exception handling in cloud manufacturing
753 -- 769Yang Hui, Xuesong Mei, Gedong Jiang, Fei Zhao, Ziwei Ma, Tao Tao. Assembly quality evaluation for linear axis of machine tool using data-driven modeling approach
771 -- 784Omid Davtalab, Ali Kazemian, Xiao Yuan, Behrokh Khoshnevis. Automated inspection in robotic additive manufacturing using deep learning for layer deformation detection
785 -- 798Wenhan Fu, Chen-Fu Chien 0001, Lizhen Tang. Bayesian network for integrated circuit testing probe card fault diagnosis and troubleshooting to empower Industry 3.5 smart production and an empirical study
799 -- 807Rui Wang, Xiangyu Guo, Shisheng Zhong, Gaolei Peng, Lin Wang. Decision rule mining for machining method chains based on rough set theory
809 -- 830Yiwei Wang, Jian Zhou, Lianyu Zheng, Christian Gogu. An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies
831 -- 844Chia-Yu Hsu, Ju-Chien Chien. Ensemble convolutional neural networks with weighted majority for wafer bin map pattern classification
845 -- 852Vivek Mahato, Muhannad Ahmed Obeidi, Dermot Brabazon, Pádraig Cunningham. Detecting voids in 3D printing using melt pool time series data
853 -- 866Hanqiao Huang, Chang Luo, Bo Han. Prescribed performance fuzzy back-stepping control of a flexible air-breathing hypersonic vehicle subject to input constraints
867 -- 879Congcong Ye, Jixiang Yang, Han Ding. Bagging for Gaussian mixture regression in robot learning from demonstration
881 -- 895Kaiser Asif, Lu Zhang, Sybil Derrible, J. Ernesto Indacochea, Didem Ozevin, Brian D. Ziebart. Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs
897 -- 909Ahmed Ktari, Mohamed El Mansori. Digital twin of functional gating system in 3D printed molds for sand casting using a neural network

Volume 33, Issue 2

353 -- 385Christian Spreafico, Davide Russo, Riccardo Degl'Innocenti. Laser pyrolysis in papers and patents
387 -- 424Chengmin Zhou, Bingding Huang, Pasi Fränti. A review of motion planning algorithms for intelligent robots
425 -- 439Chenxi Yuan, Guoyan Li, Sagar V. Kamarthi, Xiaoning Jin, Mohsen Moghaddam. Trends in intelligent manufacturing research: a keyword co-occurrence network based review
441 -- 455Cinzia Giannetti, Aniekan Essien. Towards scalable and reusable predictive models for cyber twins in manufacturing systems
457 -- 471Sebastian Larsen, Paul A. Hooper. Deep semi-supervised learning of dynamics for anomaly detection in laser powder bed fusion
473 -- 492Tarek Iraki, Norbert Link. Generative models for capturing and exploiting the influence of process conditions on process curves
493 -- 518Benjamin James Ralph, Marcel Sorger, Karin Hartl, Andreas Schwarz-Gsaxner, Florian Messner, Martin Stockinger. Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning
519 -- 535Ruihuan Ge, Joseph Flynn. A computational method for detecting aspect ratio and problematic features in additive manufacturing
537 -- 554Daria Leiber, David Eickholt, Anh-Tu Vuong, Gunther Reinhart. Simulation-based layout optimization for multi-station assembly lines
555 -- 573Alexander Gerling, Holger Ziekow, Andreas Hess 0002, Ulf Schreier, Christian Seiffer, Djaffar Ould Abdeslam. Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric
575 -- 591Marco Wurster, Marius Michel, Marvin Carl May, Andreas Kuhnle, Nicole Stricker, Gisela Lanza. Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning
593 -- 615Xiaoqian Huang, Mohamad Halwani, Rajkumar Muthusamy, Abdulla Ayyad, Dewald Swart, Lakmal D. Seneviratne, Dongming Gan, Yahya H. Zweiri. Real-time grasping strategies using event camera
617 -- 635Shiori Gondo, Hirohiko Arai. Effect and control of path parameters on thickness distribution of cylindrical cups formed via multi-pass conventional spinning

Volume 33, Issue 1

1 -- 34Parames Chutima. A comprehensive review of robotic assembly line balancing problem
35 -- 76Hien Nguyen Ngoc, Ganix Lasa, Ion Iriarte. Human-centred design in industry 4.0: case study review and opportunities for future research
77 -- 89Shengrui Yu, Tianfeng Zhang, Yun Zhang, Zhigao Huang, Huang Gao, Wen Han, Lih-Sheng Turng, Huamin Zhou. Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features
91 -- 101Lei Zhou, Tianjian Li, Wenjia Zheng, Zhongdian Zhang, Zhenglong Lei, Laijun Wu, Shiliang Zhu, Wenming Wang. Online monitoring of resistance spot welding electrode wear state based on dynamic resistance
103 -- 119Pulin Li, Kai Cheng, Pingyu Jiang, Kanet Katchasuwanmanee. Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies
121 -- 135Yun Chen, Huaizhong Li, Liang Hou, Xiangjian Bu, Shaogan Ye, Ding Chen. Chatter detection for milling using novel p-leader multifractal features
137 -- 149Çagla Cergibozan, Ali Serdar Tasan. Genetic algorithm based approaches to solve the order batching problem and a case study in a distribution center
151 -- 165Ke Zhao, Hongkai Jiang, Zhenghong Wu, Tengfei Lu. A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data
167 -- 183Chang-Ho Lee, Dong-Hee Lee, Young-Mok Bae, Seung Hyun Choi, Ki-Hun Kim, Kwang-Jae Kim. Approach to derive golden paths based on machine sequence patterns in multistage manufacturing process
185 -- 201Xuejun Zhao, Yong Qin 0002, Changbo He, Limin Jia 0002. Underdetermined blind source extraction of early vehicle bearing faults based on EMD and kernelized correlation maximization
203 -- 221Andrés Bustillo, Roberto Reis, Alisson R. Machado, Danil Yurievich Pimenov. Improving the accuracy of machine-learning models with data from machine test repetitions
223 -- 246Xu Zhang, Zhixue Liao, Lichao Ma, Jin Yao. Hierarchical multistrategy genetic algorithm for integrated process planning and scheduling
247 -- 258Yuqing Zhou, Bintao Sun, Weifang Sun, Zhi Lei. Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process
259 -- 282Christian Kubik, Sebastian Michael Knauer, Peter Groche. 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
283 -- 292Hasan Tercan, Philipp Deibert, Tobias Meisen. Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer
293 -- 309Matteo Bugatti, Bianca Maria Colosimo. Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis
311 -- 332Olumide Emmanuel Oluyisola, Swapnil Bhalla, Fabio Sgarbossa, Jan Ola Strandhagen. Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study
333 -- 352Johannes Dornheim, Lukas Morand, Samuel Zeitvogel, Tarek Iraki, Norbert Link, Dirk Helm. Deep reinforcement learning methods for structure-guided processing path optimization