Journal of Intelligent Manufacturing

Papers
(The TQCC of Journal of Intelligent Manufacturing is 10. 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 2020-07-01 to 2024-07-01.)
ArticleCitations
Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit118
Prediction of laser cutting parameters for polymethylmethacrylate sheets using random vector functional link network integrated with equilibrium optimizer116
Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review108
Synthetic data augmentation for surface defect detection and classification using deep learning103
Machine learning and deep learning based predictive quality in manufacturing: a systematic review97
Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning95
Machine learning integrated design for additive manufacturing88
A steel surface defect inspection approach towards smart industrial monitoring88
Quality 4.0: a review of big data challenges in manufacturing82
Field-synchronized Digital Twin framework for production scheduling with uncertainty81
Designing an adaptive production control system using reinforcement learning76
A review of motion planning algorithms for intelligent robots76
Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study72
Applications of artificial intelligence in engineering and manufacturing: a systematic review71
Automated surface defect detection framework using machine vision and convolutional neural networks70
Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption65
Multitask learning for health condition identification and remaining useful life prediction: deep convolutional neural network approach62
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.060
Human-centred design in industry 4.0: case study review and opportunities for future research60
Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth59
Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control54
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding51
Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process51
An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference49
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.049
A digital twin emulator of a modular production system using a data-driven hybrid modeling and simulation approach48
A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data45
Control of deposition height in WAAM using visual inspection of previous and current layers44
Improving the accuracy of machine-learning models with data from machine test repetitions43
On-line prediction of ultrasonic elliptical vibration cutting surface roughness of tungsten heavy alloy based on deep learning41
Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review40
Machine learning in continuous casting of steel: a state-of-the-art survey40
Machine learning-based optimization of process parameters in selective laser melting for biomedical applications39
Automated inspection in robotic additive manufacturing using deep learning for layer deformation detection39
Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set37
Editorial: intelligent manufacturing systems towards industry 4.0 era37
Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques37
An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading37
Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining37
A comprehensive review of robotic assembly line balancing problem37
Human factors in cobot era: a review of modern production systems features37
An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion36
Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs35
A systematic review of data-driven approaches to fault diagnosis and early warning35
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer35
Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach33
Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining33
A hybrid method of blockchain and case-based reasoning for remanufacturing process planning33
Ensemble convolutional neural networks with weighted majority for wafer bin map pattern classification33
Robust modeling method for thermal error of CNC machine tools based on random forest algorithm32
Maintenance optimization for a multi-unit system with digital twin simulation32
Research on flexible job-shop scheduling problem in green sustainable manufacturing based on learning effect32
A novel parallel classification network for classifying three-dimensional surface with point cloud data32
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 blanking32
A systematic literature review on recent trends of machine learning applications in additive manufacturing32
Designing energy-efficient high-precision multi-pass turning processes via robust optimization and artificial intelligence32
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks31
RETRACTED ARTICLE: Economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles31
A kMap optimized VMD-SVM model for milling chatter detection with an industrial robot31
Identification of cutting tool wear condition in turning using self-organizing map trained with imbalanced data31
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks30
Deep prototypical networks based domain adaptation for fault diagnosis29
Prediction of cell viability in dynamic optical projection stereolithography-based bioprinting using machine learning29
Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions29
Deep semi-supervised learning of dynamics for anomaly detection in laser powder bed fusion28
Pitfalls and protocols of data science in manufacturing practice28
An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing28
Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process28
Detecting voids in 3D printing using melt pool time series data27
Improving surface quality in selective laser melting based tool making27
A dynamic clustering technique based on deep reinforcement learning for Internet of vehicles27
Self learning-empowered thermal error control method of precision machine tools based on digital twin27
Machine learning algorithms for the prediction of non-metallic inclusions in steel wires for tire reinforcement26
Mathematical modeling and a hybrid evolutionary algorithm for process planning26
In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting26
Fuzzy harmony search based optimal control strategy for wireless cyber physical system with industry 4.026
Automatic root cause analysis in manufacturing: an overview & conceptualization25
Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM25
Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis25
A blockchain technology based trust system for cloud manufacturing24
Design and application of digital twin system for the blade-rotor test rig24
Energy-time tradeoffs for remanufacturing system scheduling using an invasive weed optimization algorithm24
“FabNER”: information extraction from manufacturing process science domain literature using named entity recognition24
A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models24
Trends in intelligent manufacturing research: a keyword co-occurrence network based review24
Optimization in solving inventory control problem using nature inspired Emperor Penguins Colony algorithm24
Multi-robot multi-operator collaborative assembly systems: a performance evaluation model24
Pipeline for ontology-based modeling and automated deployment of digital twins for planning and control of manufacturing systems23
Failure prediction in production line based on federated learning: an empirical study23
Automated guided vehicles position control: a systematic literature review23
Chatter detection for milling using novel p-leader multifractal features23
Advances in machine learning and deep learning applications towards wafer map defect recognition and classification: a review22
YDRSNet: an integrated Yolov5-Deeplabv3 + real-time segmentation network for gear pitting measurement22
A novel transfer learning framework for chatter detection using convolutional neural networks22
Autoencoder-based anomaly detection of industrial robot arm using stethoscope based internal sound sensor22
Statistical process monitoring in a specified period for the image data of fused deposition modeling parts with consistent layers21
Reinforcement learning applications to machine scheduling problems: a comprehensive literature review21
Demand forecasting application with regression and artificial intelligence methods in a construction machinery company21
Bayesian network for integrated circuit testing probe card fault diagnosis and troubleshooting to empower Industry 3.5 smart production and an empirical study21
3D facility layout problem20
Comprehensive learning Jaya algorithm for engineering design optimization problems20
A context-aware recommendation system for improving manufacturing process modeling20
A digital twins concept model for integrated maintenance: a case study for crane operation20
Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures20
A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing20
A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization19
Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning19
Digital twin-driven dynamic scheduling of a hybrid flow shop19
A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process19
A novel data-driven method based on sample reliability assessment and improved CNN for machinery fault diagnosis with non-ideal data19
A mixed adversarial adaptation network for intelligent fault diagnosis19
MWRSPCA: online fault monitoring based on moving window recursive sparse principal component analysis19
Implementation of a novel algorithm of wheelset and axle box concurrent fault identification based on an efficient neural network with the attention mechanism19
An imbalanced data learning method for tool breakage detection based on generative adversarial networks18
Current status, challenges and opportunities of sustainable ultra-precision manufacturing18
In-situ monitoring laser based directed energy deposition process with deep convolutional neural network18
Automation platform independent multi-agent system for robust networks of production resources in industry 4.018
Genetic algorithm based approaches to solve the order batching problem and a case study in a distribution center18
Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning17
A novel normalized recurrent neural network for fault diagnosis with noisy labels17
Novel method for detection of mixed-type defect patterns in wafer maps based on a single shot detector algorithm17
New metrics for measuring supply chain reconfigurability17
Underdetermined blind source extraction of early vehicle bearing faults based on EMD and kernelized correlation maximization16
Machining quality monitoring (MQM) in laser-assisted micro-milling of glass using cutting force signals: an image-based deep transfer learning16
Automated real-time detection of surface defects in manufacturing processes of aluminum alloy strip using a lightweight network architecture16
Product quality prediction in pulsed laser cutting of silicon steel sheet using vibration signals and deep neural network16
Temporal anomaly detection on IIoT-enabled manufacturing16
Applications of machine learning in metal powder-bed fusion in-process monitoring and control: status and challenges16
Machine learning to determine the main factors affecting creep rates in laser powder bed fusion16
Explainable AI for domain experts: a post Hoc analysis of deep learning for defect classification of TFT–LCD panels16
Multi-objective optimization of the resistance spot welding process using a hybrid approach16
On reliability of reinforcement learning based production scheduling systems: a comparative survey16
Welding quality evaluation of resistance spot welding based on a hybrid approach16
An active safety control method of collision avoidance for intelligent connected vehicle based on driving risk perception16
Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach16
Prescribed performance fuzzy back-stepping control of a flexible air-breathing hypersonic vehicle subject to input constraints16
A smart process controller framework for Industry 4.0 settings16
Reference training system for intelligent manufacturing talent education: platform construction and curriculum development15
Modular production control using deep reinforcement learning: proximal policy optimization15
Real-time grasping strategies using event camera15
Machine learning aided design of conformal cooling channels for injection molding15
An ontology model for maintenance strategy selection and assessment15
An effective adaptive adjustment method for service composition exception handling in cloud manufacturing15
Digital Twin and web services for robotic deburring in intelligent manufacturing15
Collaborative robots in manufacturing and assembly systems: literature review and future research agenda15
Predicting the quality of a machined workpiece with a variational autoencoder approach15
Fast and accurate prediction of temperature evolutions in additive manufacturing process using deep learning15
An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies15
Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing15
Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling15
Quality monitoring in multistage manufacturing systems by using machine learning techniques15
Cascaded foreign object detection in manufacturing processes using convolutional neural networks and synthetic data generation methodology15
Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data15
Use of acoustic emission in combination with machine learning: monitoring of gas–liquid mixing in stirred tanks15
Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies14
An unsupervised defect detection model for a dry carbon fiber textile14
A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques14
Discovering critical KPI factors from natural language in maintenance work orders14
A machine vision-based defect detection system for nuclear-fuel rod groove14
Optimization of the integrated fleet-level imperfect selective maintenance and repairpersons assignment problem14
Nonparametric-copula-entropy and network deconvolution method for causal discovery in complex manufacturing systems14
Enhanced Equilibrium Optimizer algorithm applied in job shop scheduling problem14
Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective13
An end-to-end welding defect detection approach based on titanium alloy time-of-flight diffraction images13
Real-time laser keyhole welding penetration state monitoring based on adaptive fusion images using convolutional neural networks13
Part machining feature recognition based on a deep learning method13
Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning13
Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing13
Gaussian-process based modeling and optimal control of melt-pool geometry in laser powder bed fusion13
RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques12
Imbalanced fault diagnosis based on semi-supervised ensemble learning12
A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management12
Hybrid algorithm based on reinforcement learning for smart inventory management12
Technological troubleshooting based on sentence embedding with deep transformers12
A novel tolerance geometric method based on machine learning12
Intelligent inventory management with autonomation and service strategy12
Knowledge-embedded machine learning and its applications in smart manufacturing12
A variational autoencoder for a semiconductor fault detection model robust to process drift due to incomplete maintenance12
Improved multi-core arithmetic optimization algorithm-based ensemble mutation for multidisciplinary applications12
A self-organized approach for scheduling semiconductor manufacturing systems12
Few-shot RUL estimation based on model-agnostic meta-learning12
Automated visual detection of geometrical defects in composite manufacturing processes using deep convolutional neural networks11
Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets11
Deep reinforcement learning methods for structure-guided processing path optimization11
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning11
Model predictive force control in milling based on an ensemble Kalman filter11
Research on recognition methods of spot-welding surface appearances based on transfer learning and a lightweight high-precision convolutional neural network11
An individualized system of skeletal data-based CNN classifiers for action recognition in manufacturing assembly11
Intelligent bearing structure and temperature field analysis based on finite element simulation for sustainable and green manufacturing11
Impact of the thermomechanical load on subsurface phase transformations during cryogenic turning of metastable austenitic steels11
A flexible alarm prediction system for smart manufacturing scenarios following a forecaster–analyzer approach11
Automatic solar cell diagnosis and treatment11
Factors for choosing production control systems in make-to-order shops: a systematic literature review11
Few-shot defect recognition of metal surfaces via attention-embedding and self-supervised learning11
Fault classification in the process industry using polygon generation and deep learning11
Integrated approaches of BWM-QFD and FUCOM-QFD for improving weighting solution of design matrix11
The integrated process planning and scheduling of flexible job-shop-type remanufacturing systems using improved artificial bee colony algorithm11
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data11
Smart retrofitting in maintenance: a systematic literature review11
A real-time defective pixel detection system for LCDs using deep learning based object detectors11
Laser pyrolysis in papers and patents11
Relating wear stages in sheet metal forming based on short- and long-term force signal variations10
Indirect tool monitoring in drilling based on gap sensor signal and multilayer perceptron feed forward neural network10
Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features10
Digital twin-based decision making paradigm of raise boring method10
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding10
An automatic calibration algorithm for laser vision sensor in robotic autonomous welding system10
Online monitoring of resistance spot welding electrode wear state based on dynamic resistance10
A hybrid genetic algorithm for parallel machine scheduling with setup times10
A run-to-run controller for a chemical mechanical planarization process using least squares generative adversarial networks10
An improved artificial algae algorithm integrated with differential evolution for job-shop scheduling problem10
An integrated SMED-fuzzy FMEA model for reducing setup time10
A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures10
Spatial–temporal out-of-order execution for advanced planning and scheduling in cyber-physical factories10
Adaptive obstacle avoidance in path planning of collaborative robots for dynamic manufacturing10
A framework for a knowledge based cold spray repairing system10
Guided deep subdomain adaptation network for fault diagnosis of different types of rolling bearings10
Recognition of abnormal patterns in industrial processes with variable window size via convolutional neural networks and AdaBoost10
An estimation distribution algorithm for wave-picking warehouse management10
Collaborative approaches in sustainable and resilient 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
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