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Content
October 2024, Volume 35, Issue 7
- 3459-3477 Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction
by Pengcheng Xia & Yixiang Huang & Chengjin Qin & Chengliang Liu - 3479-3499 ML Pro: digital assistance system for interactive machine learning in production
by Christian Neunzig & Dennis Möllensiep & Bernd Kuhlenkötter & Matthias Möller - 3501-3521 An ontology for defining and characterizing demonstration environments
by Wei Nie & Katharina Vita & Tariq Masood - 3523-3542 Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network
by Hanting Zhou & Wenhe Chen & Jing Liu & Longsheng Cheng & Min Xia - 3543-3558 A novel image feature based self-supervised learning model for effective quality inspection in additive manufacturing
by Chun Fai Lui & Ahmed Maged & Min Xie - 3559-3576 A novel strategy based on machine learning of selective cooling control of work roll for improvement of cold rolled strip flatness
by Pengfei Wang & Jinkun Deng & Xu Li & Changchun Hua & Lihong Su & Guanyu Deng - 3577-3598 Predictive modeling of roughness change in multistep machining
by Reza Teimouri & Sebastian Skoczypiec
August 2024, Volume 35, Issue 6
- 2407-2439 Applying machine learning to wire arc additive manufacturing: a systematic data-driven literature review
by Abderrachid Hamrani & Arvind Agarwal & Amine Allouhi & Dwayne McDaniel - 2441-2473 Fault diagnosis and self-healing for smart manufacturing: a review
by Joma Aldrini & Ines Chihi & Lilia Sidhom - 2475-2515 Image deep learning in fault diagnosis of mechanical equipment
by Chuanhao Wang & Yongjian Sun & Xiaohong Wang - 2517-2546 Digital Twin-based manufacturing system: a survey based on a novel reference model
by Shimin Liu & Pai Zheng & Jinsong Bao - 2547-2566 Tool wear prediction in milling CFRP with different fiber orientations based on multi-channel 1DCNN-LSTM
by Bohao Li & Zhenghui Lu & Xiaoliang Jin & Liping Zhao - 2567-2592 Production quality prediction of cross-specification products using dynamic deep transfer learning network
by Pei Wang & Tao Wang & Sheng Yang & Han Cheng & Pengde Huang & Qianle Zhang - 2593-2610 Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning
by Ziqing Wang & Wenzhu Liao - 2611-2611 Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning
by Ziqing Wang & Wenzhu Liao - 2613-2624 An innovative integrated approach to automatic defect detection system of cell phone case manufacturing in an empirical implementation
by Chao-Chang Liao & Chih-Ching Hsu & Hong-Tsu Young & Kuan-Ming Li - 2625-2643 Evaluation of process planning in manufacturing by a neural network based on an energy definition of hopfield nets
by Jan Michael Spoor & Jens Weber - 2645-2652 Deviation compensation in LPBF series production via statistical predeformation and structural pattern analysis
by Philipp Lechner & Christoph Hartmann & Daniel Wolf & Abdelrahman Habiba - 2653-2669 Multi-stage few-shot micro-defect detection of patterned OLED panel using defect inpainting and multi-scale Siamese neural network
by Shujiao Ye & Zheng Wang & Pengbo Xiong & Xinhao Xu & Lintong Du & Jiubin Tan & Weibo Wang - 2671-2698 SSMSPC: self-supervised multivariate statistical in-process control in discrete manufacturing processes
by Tobias Biegel & Patrick Helm & Nicolas Jourdan & Joachim Metternich - 2699-2718 Digitalization platform for data-driven quality management in multi-stage manufacturing systems
by Marc-André Filz & Jan Philipp Bosse & Christoph Herrmann - 2719-2742 In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach
by Mohamed Atwya & George Panoutsos - 2743-2764 A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld
by Jie Zhou & Zerui Xi & Shilong Wang & Bo Yang & Youhong Zhang & Yucheng Zhang - 2765-2786 Rapid simplification of 3D geometry model of mechanisms in the digital twins-driven manufacturing system design
by Jiewu Leng & Zisheng Lin & Zhiqiang Huang & Ruijun Ye & Qiang Liu & Xin Chen - 2787-2810 A novel interpretable predictive model based on ensemble learning and differential evolution algorithm for surface roughness prediction in abrasive water jet polishing
by Shutong Xie & Zongbao He & Yee Man Loh & Yu Yang & Kunhong Liu & Chao Liu & Chi Fai Cheung & Nan Yu & Chunjin Wang - 2811-2827 Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks
by Kirolos Abdou & Osama Mohammed & George Eskandar & Amgad Ibrahim & Paul-Amaury Matt & Marco F. Huber - 2829-2843 Swarm intelligence-based framework for accelerated and optimized assembly line design in the automotive industry
by Anass Houd & Benoit Piranda & Raphael Matos & Julien Bourgeois - 2845-2865 Competing refurbishment in a supply chain with different selling modes
by Yan Zhang & Wen Zhang & Xiao Shi & Ting Hou - 2867-2886 Equipment electrocardiogram (EECG): making intelligent production line more robust
by Baotong Chen & Lei Wang & Shujun Yu & Jiafu Wan & Xuhui Xia - 2887-2911 An accuracy and performance-oriented accurate digital twin modeling method for precision microstructures
by Qimuge Saren & Zhijing Zhang & Jian Xiong & Xiao Chen & Dongsheng Zhu & Wenrong Wu & Xin Jin & Ke Shang - 2913-2928 Digital twin enhanced fault diagnosis reasoning for autoclave
by Yucheng Wang & Fei Tao & Ying Zuo & Meng Zhang & Qinglin Qi - 2929-2959 A deep convolutional network combining layerwise images and defect parameter vectors for laser powder bed fusion process anomalies classification
by Zimeng Jiang & Aoming Zhang & Zhangdong Chen & Chenguang Ma & Zhenghui Yuan & Yifan Deng & Yingjie Zhang - 2961-2978 A hierarchical ensemble causal structure learning approach for wafer manufacturing
by Yu Yang & Sthitie Bom & Xiaotong Shen
June 2024, Volume 35, Issue 5
- 1905-1907 Intelligent cobot systems: human-cobot collaboration in manufacturing
by Maurizio Faccio & Yuval Cohen - 1909-1927 Multicriteria task classification in human-robot collaborative assembly through fuzzy inference
by Alessandro Alessio & Khurshid Aliev & Dario Antonelli - 1929-1947 A framework for fault detection and diagnostics of articulated collaborative robots based on hybrid series modelling of Artificial Intelligence algorithms
by Adalberto Polenghi & Laura Cattaneo & Marco Macchi - 1949-1962 Investigating the effect of intelligent assistance systems on motivational work characteristics in assembly
by Marvin Walczok & Tanja Bipp - 1963-1984 Active learning and novel model calibration measurements for automated visual inspection in manufacturing
by Jože M. Rožanec & Luka Bizjak & Elena Trajkova & Patrik Zajec & Jelle Keizer & Blaž Fortuna & Dunja Mladenić - 1985-2003 HA $$R^{2}$$ R 2 bot: a human-centered augmented reality robot programming method with the awareness of cognitive load
by Wenhao Yang & Qinqin Xiao & Yunbo Zhang - 2005-2019 The effects of role transitions and adaptation in human–cobot collaboration
by Lorenzo Vianello & Serena Ivaldi & Alexis Aubry & Luka Peternel - 2021-2043 Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin
by Weibin Qu & Jie Li & Rong Zhang & Shimin Liu & Jinsong Bao - 2045-2063 Self-improving situation awareness for human–robot-collaboration using intelligent Digital Twin
by Manuel Müller & Tamás Ruppert & Nasser Jazdi & Michael Weyrich - 2065-2118 Collaborative robots in manufacturing and assembly systems: literature review and future research agenda
by Ali Keshvarparast & Daria Battini & Olga Battaia & Amir Pirayesh - 2119-2135 Multi-scale progressive fusion-based depth image completion and enhancement for industrial collaborative robot applications
by Chuhua Xian & Jun Zhang & Wenhao Yang & Yunbo Zhang - 2137-2159 Binocular vision and priori data based intelligent pose measurement method of large aerospace cylindrical components
by Wei Fan & Qiang Fu & Yansheng Cao & Lianyu Zheng & Xuexin Zhang & Jieru Zhang - 2161-2174 A genetic iterated greedy algorithm for the blocking flowshop to minimize total earliness and tardiness
by Bruno Athayde Prata & Helio Yochihiro Fuchigami - 2175-2191 A bilevel optimisation model for the joint configuration of new and remanufactured products considering specification upgrading of used products
by M. W. Geda & Pai Zheng & C. K. Kwong & Yuk Ming Tang - 2193-2214 Attention mechanism and texture contextual information for steel plate defects detection
by Chi Zhang & Jian Cui & Jianguo Wu & Xi Zhang - 2215-2233 Fine-grained activity classification in assembly based on multi-visual modalities
by Haodong Chen & Niloofar Zendehdel & Ming C. Leu & Zhaozheng Yin - 2235-2261 Safe human–robot collaboration for industrial settings: a survey
by Weidong Li & Yudie Hu & Yong Zhou & Duc Truong Pham - 2263-2276 Investigating the influence of fidelity on the capability of a digital twin to detect material extrusion failures
by Shuo Su & Ben Hicks & Aydin Nassehi - 2277-2293 Subspace and second-order statistical distribution alignment for cross-domain recognition of human hand motions
by Hanwen Kou & Han Shi & Hai Zhao - 2295-2312 A pre-trained model selection for transfer learning of remaining useful life prediction of grinding wheel
by Seung-Ho Park & Kyoung-Su Park - 2313-2326 Data-driven prediction of keyhole features in metal additive manufacturing based on physics-based simulation
by Ziyuan Xie & Fan Chen & Lu Wang & Wenjun Ge & Wentao Yan - 2327-2347 Early fault diagnosis in rolling element bearings: comparative analysis of a knowledge-based and a data-driven approach
by Eleonora Iunusova & Monica Katherine Gonzalez & Károly Szipka & Andreas Archenti - 2349-2364 Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches
by Xi Huang & Wei Long Ng & Wai Yee Yeong - 2365-2365 Correction to: Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches
by Xi Huang & Wei Long Ng & Wai Yee Yeong - 2367-2386 A modified RBF-CBR model considering evaluation index for gear grinding process with worm grinding wheel decision support system
by Mengqi He & Xiuxu Zhao & Fan He & Emmanuel Appiah & Jiao Li & Chenghui Zhu - 2387-2406 Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network
by Jihoon Chung & Bo Shen & Zhenyu James Kong
April 2024, Volume 35, Issue 4
- 1407-1437 Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing
by T. Herzog & M. Brandt & A. Trinchi & A. Sola & A. Molotnikov - 1439-1454 Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application
by Wei Guo & Yijin Wang & Xin Chen & Pingyu Jiang - 1455-1467 Multidomain variance-learnable prototypical network for few-shot diagnosis of novel faults
by Jianyu Long & Yibin Chen & Huiyu Huang & Zhe Yang & Yunwei Huang & Chuan Li - 1469-1490 Coupling of an analytical rolling model and reinforcement learning to design pass schedules: towards properties controlled hot rolling
by C. Idzik & A. Krämer & G. Hirt & J. Lohmar - 1491-1515 Power spectral density moment of having defective 3D printed plastic beams under moving load based on deep learning
by Thanh Q. Nguyen & Nghi N. Nguyen & Xuan Tran - 1517-1539 Flexible job shop scheduling with preventive maintenance consideration
by Michael Mario Wocker & Frederik Ferid Ostermeier & Tobias Wanninger & Ronny Zwinkau & Jochen Deuse - 1541-1569 Anticipatory analysis of AGV trajectory in a 5G network using machine learning
by Alberto Mozo & Stanislav Vakaruk & J. Enrique Sierra-García & Antonio Pastor - 1571-1583 A framework and method for equipment digital twin dynamic evolution based on IExATCN
by Kunyu Wang & Lin Zhang & Zidi Jia & Hongbo Cheng & Han Lu & Jin Cui - 1585-1605 A novel 2.5D machining feature recognition method based on ray blanking algorithm
by Peng Shi & Xiaomeng Tong & Maolin Cai & Shuai Niu - 1607-1628 Indirect porosity detection and root-cause identification in WAAM
by Joselito Yam II Alcaraz & Wout Foqué & Abhay Sharma & Tegoeh Tjahjowidodo - 1629-1648 Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence
by Angelo Cardellicchio & Massimiliano Nitti & Cosimo Patruno & Nicola Mosca & Maria Summa & Ettore Stella & Vito Renò - 1649-1670 Genetic algorithm optimization based on manufacturing prediction for an efficient tolerance allocation approach
by Maroua Ghali & Sami Elghali & Nizar Aifaoui - 1671-1686 Visual analytics for digital twins: a conceptual framework and case study
by Hangbin Zheng & Tianyuan Liu & Jiayu Liu & Jinsong Bao - 1687-1706 A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion
by Simon Oster & Philipp P. Breese & Alexander Ulbricht & Gunther Mohr & Simon J. Altenburg - 1707-1719 A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data
by Chenze Wang & Han Wang & Min Liu - 1721-1735 Data-driven indirect punch wear monitoring in sheet-metal stamping processes
by Martin Unterberg & Marco Becker & Philipp Niemietz & Thomas Bergs - 1737-1764 A fast spatio-temporal temperature predictor for vacuum assisted resin infusion molding process based on deep machine learning modeling
by Runyu Zhang & Yingjian Liu & Thomas Zheng & Sarah Eddin & Steven Nolet & Yi-Ling Liang & Shaghayegh Rezazadeh & Joseph Wilson & Hongbing Lu & Dong Qian - 1765-1779 High-precision point cloud registration system of multi-view industrial self-similar workpiece based on super-point space guidance
by Xingguo Wang & Xiaoyu Chen & Zhuang Zhao & Yi Zhang & Dongliang Zheng & Jing Han - 1781-1792 A multi-subpopulation genetic algorithm-based CNN approach for ceramic tile defects classification
by Nhat-To Huynh - 1793-1810 Developing an explainable hybrid deep learning model in digital transformation: an empirical study
by Ming-Chuan Chiu & Yu-Hsiang Chiang & Jing-Er Chiu - 1811-1824 GAN-based statistical modeling with adaptive schemes for surface defect inspection of IC metal packages
by Zhenshuang Wu & Nian Cai & Kaiqiong Chen & Hao Xia & Shuai Zhou & Han Wang - 1825-1844 Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold
by Andrew Chung Chee Law & Rongxuan Wang & Jihoon Chung & Ezgi Kucukdeger & Yang Liu & Ted Barron & Blake N. Johnson & Zhenyu Kong - 1845-1865 Learning the manufacturing capabilities of machining and finishing processes using a deep neural network model
by Changxuan Zhao & Shreyes N. Melkote - 1867-1885 Attention-driven transfer learning framework for dynamic model guided time domain chatter detection
by Chen Yin & Yulin Wang & Jeong Hoon Ko & Heow Pueh Lee & Yuxin Sun - 1887-1903 A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties
by Tarek Iraki & Lukas Morand & Johannes Dornheim & Norbert Link & Dirk Helm
March 2024, Volume 35, Issue 3
- 937-962 Prognostics and health management for induction machines: a comprehensive review
by Chao Huang & Siqi Bu & Hiu Hung Lee & Kwong Wah Chan & Winco K. C. Yung - 963-975 Machine learning approach to packaging compatibility testing in the new product development process
by Norbert Piotrowski - 977-990 Research on digital twin monitoring system for large complex surface machining
by Tian-Feng Qi & Hai-Rong Fang & Yu-Fei Chen & Li-Tao He - 991-1011 Powder bed monitoring via digital image analysis in additive manufacturing
by A. Boschetto & L. Bottini & S. Vatanparast - 1013-1035 Development of grinding intelligent monitoring and big data-driven decision making expert system towards high efficiency and low energy consumption: experimental approach
by Jinling Wang & Yebing Tian & Xintao Hu & Zenghua Fan & Jinguo Han & Yanhou Liu - 1037-1053 Nash equilibrium as a tool for the Car Sequencing Problem 4.0
by Sara Bysko & Jolanta Krystek & Andrzej Świerniak - 1055-1077 Monitoring and control of biological additive manufacturing using machine learning
by Samuel Gerdes & Aniruddha Gaikwad & Srikanthan Ramesh & Iris V. Rivero & Ali Tamayol & Prahalada Rao - 1079-1105 Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network
by Zhiwen Huang & Jiajie Shao & Jianmin Zhu & Wei Zhang & Xiaoru Li - 1107-1140 A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups
by Funing Li & Sebastian Lang & Bingyuan Hong & Tobias Reggelin - 1141-1157 Hierarchical multi-scale network for cross-scale visual defect detection
by Ruining Tang & Zhenyu Liu & Yiguo Song & Guifang Duan & Jianrong Tan - 1159-1171 A novel approach for tool condition monitoring based on transfer learning of deep neural networks using time–frequency images
by Yao Li & Zhengcai Zhao & Yucan Fu & Qingliang Chen - 1173-1196 Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model
by Hongquan Gui & Jialan Liu & Chi Ma & Mengyuan Li - 1197-1206 Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot
by Yufan Zhu & Silu Chen & Chi Zhang & Zhongyu Piao & Guilin Yang - 1207-1220 Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process
by Hong-Wei Xu & Wei Qin & Yan-Ning Sun & You-Long Lv & Jie Zhang - 1221-1232 Machining tool identification utilizing temporal 3D point clouds
by Thanasis Zoumpekas & Alexander Leutgeb & Anna Puig & Maria Salamó - 1233-1246 PreAugNet: improve data augmentation for industrial defect classification with small-scale training data
by Isack Farady & Chih-Yang Lin & Ming-Ching Chang - 1247-1265 Method for monitoring and controlling penetration of complex groove welding based on online multi-modal data
by Peng Gao & Zijian Wu & Yiming Wang & Jun Lu & Zhuang Zhao - 1267-1280 A texture-aware one-stage fabric defect detection network with adaptive feature fusion and multi-task training
by Bingyu Lu & Biqing Huang - 1281-1303 Automatic detection and characterization of porosities in cross-section images of metal parts produced by binder jetting using machine learning and image augmentation
by Nicholas Satterlee & Elisa Torresani & Eugene Olevsky & John S. Kang - 1305-1319 Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding
by Matthew Russell & Joseph Kershaw & Yujun Xia & Tianle Lv & Yongbing Li & Hassan Ghassemi-Armaki & Blair E. Carlson & Peng Wang - 1321-1336 Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average
by Ramy M. Khalifa & Soumaya Yacout & Samuel Bassetto - 1337-1352 Real-time defect detection of TFT-LCD displays using a lightweight network architecture
by Ping Chen & Mingfang Chen & Sen Wang & Yanjin Song & Yu Cui & Zhongping Chen & Yongxia Zhang & Songlin Chen & Xiang Mo - 1353-1372 Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions
by Xiahui Liu & Liqun Zhang & Qianwang Deng & Meng Li & Chao Jiang - 1373-1387 DESMILS: a decision support approach for multi-item lot sizing using interactive multiobjective optimization
by Adhe Kania & Bekir Afsar & Kaisa Miettinen & Juha Sipilä - 1389-1406 A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data
by Javid Akhavan & Jiaqi Lyu & Souran Manoochehri
February 2024, Volume 35, Issue 2
- 467-497 Monitoring and control the Wire Arc Additive Manufacturing process using artificial intelligence techniques: a review
by Giulio Mattera & Luigi Nele & Davide Paolella - 499-519 Collaborative approaches in sustainable and resilient manufacturing
by Luis M. Camarinha-Matos & Andre Dionisio Rocha & Paula Graça - 521-537 Rule-based visualization of faulty process conditions in the die-casting manufacturing
by Josue Obregon & Jae-Yoon Jung - 539-554 Heterogeneous demand–capacity synchronization for smart assembly cell line based on artificial intelligence-enabled IIoT
by Shiquan Ling & Daqiang Guo & Mingxing Li & Yiming Rong & George Q. Huang - 555-574 Methodology for complexity and cost comparison between subtractive and additive manufacturing processes
by S. Touzé & M. Rauch & J.-Y. Hascoët - 575-586 Intelligent control system for 3D inkjet printing
by Fanbo Meng & Jin Huang & Bu Ping & Pengfei Yuan & Nan Bai & Xiaolai Zhang & Xueyou Shi & Jinzhu Zhou & Peng Li & Pengbing Zhao - 587-612 A novel hybrid framework for single and multi-robot path planning in a complex industrial environment
by Sunil Kumar & Afzal Sikander - 613-632 Digital-twin based real-time resource allocation for hull parts picking and processing
by Xiangdong Wang & Xiaofeng Hu & Jiafu Wan - 633-646 A novel hypergraph convolution network for wafer defect patterns identification based on an unbalanced dataset
by Yuxi Xie & Shaofan Li & C. T. Wu & Zhipeng Lai & Miao Su - 647-664 Global and local representation collaborative learning for few-shot learning
by Jun Zhou & Qingling Cai - 665-665 Correction: Global and local representation collaborative learning for few-shot learning
by Jun Zhou & Qingling Cai - 667-686 Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning
by Felix Grumbach & Anna Müller & Pascal Reusch & Sebastian Trojahn - 687-701 A novel deep learning motivated data augmentation system based on defect segmentation requirements
by Shuanlong Niu & Yaru Peng & Bin Li & Yuanhong Qiu & Tongzhi Niu & Weifeng Li - 703-726 A novel micro-defect classification system based on attention enhancement
by Song Lin & Zhiyong He & Lining Sun - 727-756 A smart system of Customer- product Interaction Life Cycle (CILC) in industrial Internet era for mass personalization from industrial practice survey: identification, definition, acquisition and parsing
by Xianyu Zhang & Xinguo Ming - 757-775 A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models
by Nimel Sworna Ross & Paul T. Sheeba & C. Sherin Shibi & Munish Kumar Gupta & Mehmet Erdi Korkmaz & Vishal S Sharma - 777-791 A domain adaptation method for bearing fault diagnosis using multiple incomplete source data
by Qibin Wang & Yuanbing Xu & Shengkang Yang & Jiantao Chang & Jingang Zhang & Xianguang Kong - 793-806 Task allocation model for human-robot collaboration with variable cobot speed
by Maurizio Faccio & Irene Granata & Riccardo Minto - 807-824 Predicting maintenance through an attention long short-term memory projected model
by Shih-Hsien Tseng & Khoa-Dang Tran - 825-840 Multi-layer edge resource placement optimization for factories
by Jakob Zietsch & Rafal Kulaga & Harald Held & Christoph Herrmann & Sebastian Thiede - 841-857 A knowledge distillation-based multi-scale relation-prototypical network for cross-domain few-shot defect classification
by Jiaqi Zhao & Xiaolong Qian & Yunzhou Zhang & Dexing Shan & Xiaozheng Liu & Sonya Coleman & Dermot Kerr - 859-873 Graph neural network comparison for 2D nesting efficiency estimation
by Corentin Lallier & Guillaume Blin & Bruno Pinaud & Laurent Vézard - 875-884 Experience from implementing digital twins for maintenance in industrial processes
by Muhammad Hassan & Marcus Svadling & Niclas Björsell - 885-903 Safe contextual Bayesian optimization integrated in industrial control for self-learning machines
by Stefano Blasi & Maryam Bahrami & Elmar Engels & Alexander Gepperth - 905-923 Partitioned abrasive belt condition monitoring based on a unified coefficient and image processing
by Xiaokang Huang & Xukai Ren & Huanwei Yu & Xiyong Du & Xianfeng Chen & Ze Chai & Xiaoqi Chen - 925-935 Machine learning enabled optimization of showerhead design for semiconductor deposition process
by Zeqing Jin & Dahyun Daniel Lim & Xueying Zhao & Meenakshi Mamunuru & Sassan Roham & Grace X. Gu
January 2024, Volume 35, Issue 1
- 1-2 Hyper-automation in manufacturing industry
by Andrew Kusiak - 3-33 Scientometric analysis and systematic review of smart manufacturing technologies applied to the 3D printing polymer material extrusion system
by Miguel Castillo & Roberto Monroy & Rafiq Ahmad - 35-53 Particle swarm optimization service composition algorithm based on prior knowledge
by Hongbin Wang & Yang Ding & Hanchuan Xu - 55-73 Online porosity prediction in laser welding of aluminum alloys based on a multi-fidelity deep learning framework
by Deyuan Ma & Ping Jiang & Leshi Shu & Zhaoliang Gong & Yilin Wang & Shaoning Geng - 75-93 Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling
by Xuan Jing & Xifan Yao & Min Liu & Jiajun Zhou - 95-113 Surface defect detection method for air rudder based on positive samples
by Zeqing Yang & Mingxuan Zhang & Yingshu Chen & Ning Hu & Lingxiao Gao & Libing Liu & Enxu Ping & Jung Il Song - 115-127 Material removal rate prediction in chemical mechanical planarization with conditional probabilistic autoencoder and stacking ensemble learning
by Yupeng Wei & Dazhong Wu - 129-145 In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding
by Daehyun Baek & Hyeong Soon Moon & Sang-Hu Park - 147-160 State identification of a 5-axis ultra-precision CNC machine tool using energy consumption data assisted by multi-output densely connected 1D-CNN model
by Zhicheng Xu & Vignesh Selvaraj & Sangkee Min - 161-173 A digital twin-based framework for selection of grinding conditions towards improved productivity and part quality
by Hamid Jamshidi & Erhan Budak - 175-198 A semantic-driven tradespace framework to accelerate aircraft manufacturing system design
by Xiaochen Zheng & Xiaodu Hu & Rebeca Arista & Jinzhi Lu & Jyri Sorvari & Joachim Lentes & Fernando Ubis & Dimitris Kiritsis - 199-216 A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor
by Huixin Tian & Qiangqiang Xu - 217-233 A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network
by Hongquan Jiang & Deyan Yang & Zelin Zhi & Qiangzheng Jing & Jianmin Gao & Chenyue Tao & Zhixiang Cheng - 235-255 Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0
by Xifan Yao & Nanfeng Ma & Jianming Zhang & Kesai Wang & Erfu Yang & Maurizio Faccio - 257-273 Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection
by Tales H. A. Boratto & Camila M. Saporetti & Samuel C. A. Basilio & Alexandre A. Cury & Leonardo Goliatt - 275-287 Integrated circuit probe card troubleshooting based on rough set theory for advanced quality control and an empirical study
by Chen-Fu Chien & Hsin-Jung Wu - 289-305 Digital modeling-driven chatter suppression for thin-walled part manufacturing
by Guo Zhou & Kai Zhou & Jing Zhang & Meng Yuan & Xiaohao Wang & Pingfa Feng & Min Zhang & Feng Feng - 307-330 Intelligent inventory management with autonomation and service strategy
by Bikash Koli Dey & Hyesung Seok - 331-341 A quality improvement method for complex component fine manufacturing based on terminal laser beam deflection compensation
by Dongxiang Hou & Xiaodong Wang & Qing Song & Xuesong Mei & Haicheng Wang - 343-353 Interpolation-based virtual sample generation for surface roughness prediction
by Wenwen Tian & Jiong Zhang & Fei Zhao & Xiaobing Feng & Xuesong Mei & Guangde Chen & Hao Wang - 355-366 Dynamic spatial–temporal graph-driven machine remaining useful life prediction method using graph data augmentation
by Chaoying Yang & Jie Liu & Kaibo Zhou & Xinyu Li - 367-386 Cross-scale fusion and domain adversarial network for generalizable rail surface defect segmentation on unseen datasets
by Shuai Ma & Kechen Song & Menghui Niu & Hongkun Tian & Yunhui Yan - 387-411 In-situ prediction of machining errors of thin-walled parts: an engineering knowledge based sparse Bayesian learning approach
by Hao Sun & Shengqiang Zhao & Fangyu Peng & Rong Yan & Lin Zhou & Teng Zhang & Chi Zhang - 413-428 A novel automatic classification approach for micro-flaws on the large-aperture optics surface based on multi-light source fusion and integrated deep learning architecture
by Zhaoyang Yin & Mingjun Chen & Linjie Zhao & Jian Cheng & Chao Tan & Xiaotao Li & Zhiyu Lin & Yankang Chen - 429-447 Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing
by Bianca Maria Colosimo & Luca Pagani & Marco Grasso - 449-465 Accelerating ultrashort pulse laser micromachining process comprehensive optimization using a machine learning cycle design strategy integrated with a physical model
by Zhen Zhang & Zenan Yang & Chenchong Wang & Wei Xu
December 2023, Volume 34, Issue 8
- 3215-3247 Advances in machine learning and deep learning applications towards wafer map defect recognition and classification: a review
by Tongwha Kim & Kamran Behdinan - 3249-3275 A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing
by Jia Liu & Jiafeng Ye & Daniel Silva Izquierdo & Aleksandr Vinel & Nima Shamsaei & Shuai Shao - 3277-3304 A systematic review of data-driven approaches to fault diagnosis and early warning
by Peng Jieyang & Andreas Kimmig & Wang Dongkun & Zhibin Niu & Fan Zhi & Wang Jiahai & Xiufeng Liu & Jivka Ovtcharova - 3305-3340 A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management
by Ying Zhang & Mutahar Safdar & Jiarui Xie & Jinghao Li & Manuel Sage & Yaoyao Fiona Zhao - 3341-3363 A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process
by Zhaochen Gu & Shashank Sharma & Daniel A. Riley & Mangesh V. Pantawane & Sameehan S. Joshi & Song Fu & Narendra B. Dahotre - 3365-3387 Cross-domain adaptation network based on attention mechanism for tool wear prediction
by Jianliang He & Yuxin Sun & Chen Yin & Yan He & Yulin Wang - 3389-3411 Manufacturing process classification based on heat kernel signature and convolutional neural networks
by Zhichao Wang & David Rosen - 3413-3427 Meta-FSDet: a meta-learning based detector for few-shot defects of photovoltaic modules
by Shijie Wang & Haiyong Chen & Kun Liu & Ying Zhou & Huichuan Feng - 3429-3444 An online intelligent method for roller path design in conventional spinning
by Pengfei Gao & Xinggang Yan & Yao Wang & Hongwei Li & Mei Zhan & Fei Ma & Mingwang Fu - 3445-3467 Integrated scheduling of production, inventory and imperfect maintenance based on mutual feedback of supplier and demander in distributed environment
by Zhen Wang & Qianwang Deng & Like Zhang & Xiaoyan Liu - 3469-3481 SPECTRE: a deep learning network for posture recognition in manufacturing
by Marianna Ciccarelli & Flavio Corradini & Michele Germani & Giacomo Menchi & Leonardo Mostarda & Alessandra Papetti & Marco Piangerelli - 3483-3494 Unified discriminant manifold learning for rotating machinery fault diagnosis
by Changyuan Yang & Sai Ma & Qinkai Han - 3495-3505 A novel feature-fusion-based end-to-end approach for remaining useful life prediction
by Qiwu Zhu & Qingyu Xiong & Zhengyi Yang & Yang Yu - 3507-3521 Few-shot defect recognition of metal surfaces via attention-embedding and self-supervised learning
by Zhenyu Liu & Yiguo Song & Ruining Tang & Guifang Duan & Jianrong Tan - 3523-3561 Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
by Laith Abualigah & Mohamed Abd Elaziz & Dalia Yousri & Mohammed A. A. Al-qaness & Ahmed A. Ewees & Raed Abu Zitar - 3563-3577 Conductive particle detection via efficient encoder–decoder network
by Yuanyuan Wang & Ling Ma & Lihua Jian & Huiqin Jiang - 3579-3598 A digital shadow framework using distributed system concepts
by Ayman AboElHassan & Soumaya Yacout - 3599-3621 CNN and ensemble learning based wafer map failure pattern recognition based on local property based features
by Minghao Piao & Cheng Hao Jin - 3623-3636 Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks
by Jiyoung Jung & Kundo Park & Byungjin Cho & Jinkyoo Park & Seunghwa Ryu - 3637-3658 A cyber-physical prototype system in augmented reality using RGB-D camera for CNC machining simulation
by PengYu Wang & Wen-An Yang & YouPeng You
October 2023, Volume 34, Issue 7
- 2865-2888 Measuring manufacturing system complexity: a literature review
by Germán Herrera Vidal & Jairo R. Coronado-Hernández & Claudia Minnaard - 2889-2906 Knowledge-embedded machine learning and its applications in smart manufacturing
by Farzam Farbiz & Mohd Salahuddin Habibullah & Brahim Hamadicharef & Tomasz Maszczyk & Saurabh Aggarwal - 2907-2924 Shape regulation of tapered microchannels in silica glass ablated by femtosecond laser with theoretical modeling and machine learning
by Kai Liao & Wenjun Wang & Xuesong Mei & Wenwen Tian & Hai Yuan & Mingqiong Wang & Bozhe Wang - 2925-2941 Cascaded foreign object detection in manufacturing processes using convolutional neural networks and synthetic data generation methodology
by Jixiang Tang & Huan Zhou & Tiankui Wang & Zhenxun Jin & Youli Wang & Xuanyin Wang - 2943-2961 A new differentiable architecture search method for optimizing convolutional neural networks in the digital twin of intelligent robotic grasping
by Weifei Hu & Jinyi Shao & Qing Jiao & Chuxuan Wang & Jin Cheng & Zhenyu Liu & Jianrong Tan - 2963-2988 The integrated process planning and scheduling of flexible job-shop-type remanufacturing systems using improved artificial bee colony algorithm
by Wenkang Zhang & Yufan Zheng & Rafiq Ahmad - 2989-3000 Foreign objects detection using deep learning techniques for graphic card assembly line
by R. J. Kuo & Faisal Fuad Nursyahid - 3001-3014 Deep generative model with time series-image encoding for manufacturing fault detection in die casting process
by Jiyoung Song & Young Chul Lee & Jeongsu Lee - 3015-3024 Optimizing semiconductor processing open tube furnace performance: comparative analysis of PI and Mamdani fuzzy-PI controllers
by Wesley Beccaro & Carlos A. S. Ramos & Silvio X. Duarte - 3025-3038 Federated learning-based collaborative manufacturing for complex parts
by Tianchi Deng & Yingguang Li & Xu Liu & Lihui Wang - 3039-3052 A digital apprentice for chatter detection in machining via human–machine interaction
by Xiaoliang Yan & Shreyes Melkote & Anant Kumar Mishra & Sudhir Rajagopalan - 3053-3067 Combining human guidance and structured task execution during physical human–robot collaboration
by Jonathan Cacace & Riccardo Caccavale & Alberto Finzi & Riccardo Grieco - 3069-3090 Automated manufacturability analysis in smart manufacturing systems: a signature mapping method for product-centered digital twins
by Kaishu Xia & Thorsten Wuest & Ramy Harik - 3091-3108 Automatic quality inspection in additive manufacturing using semi-supervised deep learning
by Siyamalan Manivannan - 3109-3129 Evaluation of the reliability of resistance spot welding control via on-line monitoring of dynamic resistance
by Sergey Butsykin & Anton Gordynets & Alexey Kiselev & Mikhail Slobodyan - 3131-3141 A layer-wise neural network for multi-item single-output quality estimation
by Edward K. Y. Yapp & Abhishek Gupta & Xiang Li - 3143-3158 Imbalanced fault diagnosis based on semi-supervised ensemble learning
by Chuanxia Jian & Yinhui Ao