Journal of Intelligent Manufacturing

Papers
(The TQCC of Journal of Intelligent Manufacturing is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit144
Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review128
Synthetic data augmentation for surface defect detection and classification using deep learning119
Machine learning and deep learning based predictive quality in manufacturing: a systematic review114
Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning111
Machine learning integrated design for additive manufacturing95
A review of motion planning algorithms for intelligent robots94
Automated surface defect detection framework using machine vision and convolutional neural networks90
Quality 4.0: a review of big data challenges in manufacturing88
Applications of artificial intelligence in engineering and manufacturing: a systematic review87
Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study80
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.076
Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption73
Human-centred design in industry 4.0: case study review and opportunities for future research67
Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control67
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.057
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding56
A systematic review of data-driven approaches to fault diagnosis and early warning54
An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference51
Human factors in cobot era: a review of modern production systems features50
A digital twin emulator of a modular production system using a data-driven hybrid modeling and simulation approach50
Machine learning in continuous casting of steel: a state-of-the-art survey47
Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review47
Machine learning-based optimization of process parameters in selective laser melting for biomedical applications42
A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models42
An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion41
A systematic literature review on recent trends of machine learning applications in additive manufacturing41
Editorial: intelligent manufacturing systems towards industry 4.0 era41
Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set40
An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading40
Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining40
Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions39
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks38
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer37
Robust modeling method for thermal error of CNC machine tools based on random forest algorithm36
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 blanking36
A novel parallel classification network for classifying three-dimensional surface with point cloud data35
Research on flexible job-shop scheduling problem in green sustainable manufacturing based on learning effect35
Advances in machine learning and deep learning applications towards wafer map defect recognition and classification: a review34
Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach34
Maintenance optimization for a multi-unit system with digital twin simulation33
Prediction of cell viability in dynamic optical projection stereolithography-based bioprinting using machine learning33
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks33
Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining33
A kMap optimized VMD-SVM model for milling chatter detection with an industrial robot32
Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process32
Deep semi-supervised learning of dynamics for anomaly detection in laser powder bed fusion31
An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing31
Deep prototypical networks based domain adaptation for fault diagnosis31
Self learning-empowered thermal error control method of precision machine tools based on digital twin30
Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM29
Reinforcement learning applications to machine scheduling problems: a comprehensive literature review29
Trends in intelligent manufacturing research: a keyword co-occurrence network based review29
Pitfalls and protocols of data science in manufacturing practice28
Mathematical modeling and a hybrid evolutionary algorithm for process planning28
In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting28
Improving surface quality in selective laser melting based tool making28
“FabNER”: information extraction from manufacturing process science domain literature using named entity recognition28
Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis28
Automatic root cause analysis in manufacturing: an overview & conceptualization28
A digital twins concept model for integrated maintenance: a case study for crane operation27
A novel transfer learning framework for chatter detection using convolutional neural networks27
Fuzzy harmony search based optimal control strategy for wireless cyber physical system with industry 4.027
A dynamic clustering technique based on deep reinforcement learning for Internet of vehicles27
Energy-time tradeoffs for remanufacturing system scheduling using an invasive weed optimization algorithm27
Autoencoder-based anomaly detection of industrial robot arm using stethoscope based internal sound sensor26
Automated guided vehicles position control: a systematic literature review26
Multi-robot multi-operator collaborative assembly systems: a performance evaluation model26
A blockchain technology based trust system for cloud manufacturing25
Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning25
Design and application of digital twin system for the blade-rotor test rig25
Pipeline for ontology-based modeling and automated deployment of digital twins for planning and control of manufacturing systems25
Collaborative approaches in sustainable and resilient manufacturing25
Failure prediction in production line based on federated learning: an empirical study24
A novel data-driven method based on sample reliability assessment and improved CNN for machinery fault diagnosis with non-ideal data24
A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing24
Comprehensive learning Jaya algorithm for engineering design optimization problems24
Digital twin-driven dynamic scheduling of a hybrid flow shop23
Demand forecasting application with regression and artificial intelligence methods in a construction machinery company23
Implementation of a novel algorithm of wheelset and axle box concurrent fault identification based on an efficient neural network with the attention mechanism23
YDRSNet: an integrated Yolov5-Deeplabv3 + real-time segmentation network for gear pitting measurement23
Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures23
Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing23
A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization22
Collaborative robots in manufacturing and assembly systems: literature review and future research agenda22
A context-aware recommendation system for improving manufacturing process modeling22
Automated real-time detection of surface defects in manufacturing processes of aluminum alloy strip using a lightweight network architecture21
Automation platform independent multi-agent system for robust networks of production resources in industry 4.020
A mixed adversarial adaptation network for intelligent fault diagnosis20
A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques20
Explainable AI for domain experts: a post Hoc analysis of deep learning for defect classification of TFT–LCD panels20
On reliability of reinforcement learning based production scheduling systems: a comparative survey20
MWRSPCA: online fault monitoring based on moving window recursive sparse principal component analysis20
Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning20
Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach20
In-situ monitoring laser based directed energy deposition process with deep convolutional neural network20
An imbalanced data learning method for tool breakage detection based on generative adversarial networks19
A smart process controller framework for Industry 4.0 settings19
Applications of machine learning in metal powder-bed fusion in-process monitoring and control: status and challenges19
Digital Twin and web services for robotic deburring in intelligent manufacturing19
Quality monitoring in multistage manufacturing systems by using machine learning techniques18
Fast and accurate prediction of temperature evolutions in additive manufacturing process using deep learning18
Novel method for detection of mixed-type defect patterns in wafer maps based on a single shot detector algorithm18
Real-time grasping strategies using event camera18
Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data18
An end-to-end welding defect detection approach based on titanium alloy time-of-flight diffraction images18
Machining quality monitoring (MQM) in laser-assisted micro-milling of glass using cutting force signals: an image-based deep transfer learning18
An ontology model for maintenance strategy selection and assessment18
Predicting the quality of a machined workpiece with a variational autoencoder approach17
Reference training system for intelligent manufacturing talent education: platform construction and curriculum development17
Smart retrofitting in maintenance: a systematic literature review17
New metrics for measuring supply chain reconfigurability17
Real-time laser keyhole welding penetration state monitoring based on adaptive fusion images using convolutional neural networks17
Product quality prediction in pulsed laser cutting of silicon steel sheet using vibration signals and deep neural network17
Temporal anomaly detection on IIoT-enabled manufacturing17
The integrated process planning and scheduling of flexible job-shop-type remanufacturing systems using improved artificial bee colony algorithm16
A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management16
Knowledge-embedded machine learning and its applications in smart manufacturing16
Part machining feature recognition based on a deep learning method16
Modular production control using deep reinforcement learning: proximal policy optimization16
Machine learning to determine the main factors affecting creep rates in laser powder bed fusion16
Machine learning aided design of conformal cooling channels for injection molding16
Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling16
Deep generative model with time series-image encoding for manufacturing fault detection in die casting process16
Automated visual detection of geometrical defects in composite manufacturing processes using deep convolutional neural networks16
Cascaded foreign object detection in manufacturing processes using convolutional neural networks and synthetic data generation methodology15
RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques15
An unsupervised defect detection model for a dry carbon fiber textile15
Current status, challenges and opportunities of sustainable ultra-precision manufacturing15
Intelligent inventory management with autonomation and service strategy15
Laser pyrolysis in papers and patents15
Imbalanced fault diagnosis based on semi-supervised ensemble learning15
Nonparametric-copula-entropy and network deconvolution method for causal discovery in complex manufacturing systems14
Hybrid algorithm based on reinforcement learning for smart inventory management14
Few-shot RUL estimation based on model-agnostic meta-learning14
Recognition of abnormal patterns in industrial processes with variable window size via convolutional neural networks and AdaBoost14
Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining14
Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning14
Discovering critical KPI factors from natural language in maintenance work orders14
A machine vision-based defect detection system for nuclear-fuel rod groove14
Few-shot defect recognition of metal surfaces via attention-embedding and self-supervised learning14
Integrated approaches of BWM-QFD and FUCOM-QFD for improving weighting solution of design matrix14
A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures14
Improved multi-core arithmetic optimization algorithm-based ensemble mutation for multidisciplinary applications14
Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing14
Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective14
An individualized system of skeletal data-based CNN classifiers for action recognition in manufacturing assembly14
Enhanced Equilibrium Optimizer algorithm applied in job shop scheduling problem14
Gaussian-process based modeling and optimal control of melt-pool geometry in laser powder bed fusion14
A variational autoencoder for a semiconductor fault detection model robust to process drift due to incomplete maintenance13
Relating wear stages in sheet metal forming based on short- and long-term force signal variations13
Research on recognition methods of spot-welding surface appearances based on transfer learning and a lightweight high-precision convolutional neural network13
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data13
A domain adaptation method for bearing fault diagnosis using multiple incomplete source data12
Cross-domain adaptation network based on attention mechanism for tool wear prediction12
An automatic calibration algorithm for laser vision sensor in robotic autonomous welding system12
Automatic quality inspection in additive manufacturing using semi-supervised deep learning12
A hybrid genetic algorithm for parallel machine scheduling with setup times12
Model predictive force control in milling based on an ensemble Kalman filter12
A novel tolerance geometric method based on machine learning12
Group teaching optimization algorithm with information sharing for numerical optimization and engineering optimization12
Technological troubleshooting based on sentence embedding with deep transformers12
Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets12
A novel feature-fusion-based end-to-end approach for remaining useful life prediction11
Intelligent bearing structure and temperature field analysis based on finite element simulation for sustainable and green manufacturing11
Fault classification in the process industry using polygon generation and deep learning11
Spatial–temporal out-of-order execution for advanced planning and scheduling in cyber-physical factories11
Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy11
Monitoring and control the Wire Arc Additive Manufacturing process using artificial intelligence techniques: a review11
Knowledge-driven framework for industrial robotic systems11
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding11
A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models11
Deep reinforcement learning methods for structure-guided processing path optimization11
Optimisation-driven design to explore and exploit the process–structure–property–performance linkages in digital manufacturing11
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning11
Digital twin-based decision making paradigm of raise boring method11
Guided deep subdomain adaptation network for fault diagnosis of different types of rolling bearings11
Predicting part distortion field in additive manufacturing: a data-driven framework11
Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning11
Adaptive obstacle avoidance in path planning of collaborative robots for dynamic manufacturing11
Enhanced cuckoo search algorithm for industrial winding process modeling10
Task allocation model for human-robot collaboration with variable cobot speed10
Fault diagnosis and self-healing for smart manufacturing: a review10
A fuzzy multi-criteria approach based on Clarke and Wright savings algorithm for vehicle routing problem in humanitarian aid distribution10
Towards scalable and reusable predictive models for cyber twins in manufacturing systems10
A framework for a knowledge based cold spray repairing system10
Convolutional neural networks for prediction of geometrical errors in incremental sheet metal forming10
An improved artificial algae algorithm integrated with differential evolution for job-shop scheduling problem10
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning10
SPECTRE: a deep learning network for posture recognition in manufacturing10
A real-time defective pixel detection system for LCDs using deep learning based object detectors10
Collaborative knowledge management to identify data analytics opportunities in additive manufacturing10
Reconfigurability improvement in Industry 4.0: a hybrid genetic algorithm-based heuristic approach for a co-generation of setup and process plans in a reconfigurable environment10
Application of artificial intelligence techniques in incremental forming: a state-of-the-art review9
Prediction of the parameters affecting the performance of compact heat exchangers with an innovative design using machine learning techniques9
Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering9
Digital Twin-based manufacturing system: a survey based on a novel reference model9
Manufacturing process classification based on heat kernel signature and convolutional neural networks9
In-situ identification of material batches using machine learning for machining operations9
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application9
A digital shadow framework using distributed system concepts9
Combining human guidance and structured task execution during physical human–robot collaboration9
A systematic mapping of semi-formal and formal methods in requirements engineering of industrial Cyber-Physical systems9
Cross-scale fusion and domain adversarial network for generalizable rail surface defect segmentation on unseen datasets9
A novel process planning method of 3 + 2-axis additive manufacturing for aero-engine blade based on machine learning9
Tool wear prediction in milling CFRP with different fiber orientations based on multi-channel 1DCNN-LSTM9
A new differentiable architecture search method for optimizing convolutional neural networks in the digital twin of intelligent robotic grasping9
Image deep learning in fault diagnosis of mechanical equipment9
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches9
A novel monitoring method of nanosecond laser scribing float glass with acoustic emission9
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