Journal of Intelligent Manufacturing

Papers
(The TQCC of Journal of Intelligent Manufacturing is 11. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Bearing fault diagnosis base on multi-scale CNN and LSTM model232
RETRACTED ARTICLE: Visual sensor intelligent module based image transmission in industrial manufacturing for monitoring and manipulation problems177
Prediction of laser cutting parameters for polymethylmethacrylate sheets using random vector functional link network integrated with equilibrium optimizer111
A case study of conditional deep convolutional generative adversarial networks in machine fault diagnosis105
Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit100
Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review86
Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning85
Synthetic data augmentation for surface defect detection and classification using deep learning85
Machine learning integrated design for additive manufacturing80
Multiple time-series convolutional neural network for fault detection and diagnosis and empirical study in semiconductor manufacturing78
Field-synchronized Digital Twin framework for production scheduling with uncertainty76
A steel surface defect inspection approach towards smart industrial monitoring74
Machine learning and deep learning based predictive quality in manufacturing: a systematic review73
Designing an adaptive production control system using reinforcement learning72
Quality 4.0: a review of big data challenges in manufacturing67
Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study64
A review of motion planning algorithms for intelligent robots59
Prediction of geometry deviations in additive manufactured parts: comparison of linear regression with machine learning algorithms58
Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption57
Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth56
Applications of artificial intelligence in engineering and manufacturing: a systematic review56
Automated surface defect detection framework using machine vision and convolutional neural networks53
Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process50
Multitask learning for health condition identification and remaining useful life prediction: deep convolutional neural network approach50
Human-centred design in industry 4.0: case study review and opportunities for future research48
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding47
Module-based product family design: systematic literature review and meta-synthesis45
An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference44
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.044
Milling force prediction model based on transfer learning and neural network43
A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data43
Weld defect classification in radiographic images using unified deep neural network with multi-level features43
A digital twin emulator of a modular production system using a data-driven hybrid modeling and simulation approach43
Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control41
Control of deposition height in WAAM using visual inspection of previous and current layers41
On-line prediction of ultrasonic elliptical vibration cutting surface roughness of tungsten heavy alloy based on deep learning39
Improving the accuracy of machine-learning models with data from machine test repetitions39
Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques36
An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading36
Preventive maintenance scheduling optimization based on opportunistic production-maintenance synchronization36
Editorial: intelligent manufacturing systems towards industry 4.0 era35
A hybrid method of blockchain and case-based reasoning for remanufacturing process planning34
Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining33
A comprehensive review of robotic assembly line balancing problem33
Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set33
Machine learning-based optimization of process parameters in selective laser melting for biomedical applications32
Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach32
Automated inspection in robotic additive manufacturing using deep learning for layer deformation detection31
Machine learning in continuous casting of steel: a state-of-the-art survey31
Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining31
Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs31
Human factors in cobot era: a review of modern production systems features31
An improved case based reasoning method and its application in estimation of surface quality toward intelligent machining31
RETRACTED ARTICLE: Economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles31
An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion30
A kMap optimized VMD-SVM model for milling chatter detection with an industrial robot30
Maintenance optimization for a multi-unit system with digital twin simulation30
A multi-task and multi-scale convolutional neural network for automatic recognition of woven fabric pattern29
A novel parallel classification network for classifying three-dimensional surface with point cloud data28
Designing energy-efficient high-precision multi-pass turning processes via robust optimization and artificial intelligence28
Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review28
Ensemble convolutional neural networks with weighted majority for wafer bin map pattern classification28
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer28
Discriminative feature learning and cluster-based defect label reconstruction for reducing uncertainty in wafer bin map labels27
A discrete differential evolution algorithm for flow shop group scheduling problem with sequence-dependent setup and transportation times27
Identification of cutting tool wear condition in turning using self-organizing map trained with imbalanced data27
Prediction of cell viability in dynamic optical projection stereolithography-based bioprinting using machine learning27
Mathematical modeling and a hybrid evolutionary algorithm for process planning26
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 blanking26
Skill transfer support model based on deep learning26
Improving surface quality in selective laser melting based tool making26
A dynamic clustering technique based on deep reinforcement learning for Internet of vehicles26
Deep prototypical networks based domain adaptation for fault diagnosis25
Robust modeling method for thermal error of CNC machine tools based on random forest algorithm25
Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process25
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks25
VREDI: virtual representation for a digital twin application in a work-center-level asset administration shell25
Pitfalls and protocols of data science in manufacturing practice25
An adaptive update model based on improved Long Short Term Memory for online prediction of vibration signal25
An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing24
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.024
Optimization in solving inventory control problem using nature inspired Emperor Penguins Colony algorithm24
Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM24
Detecting voids in 3D printing using melt pool time series data24
A systematic review of data-driven approaches to fault diagnosis and early warning23
Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions23
Research on flexible job-shop scheduling problem in green sustainable manufacturing based on learning effect23
Machine learning algorithms for the prediction of non-metallic inclusions in steel wires for tire reinforcement23
Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery23
Pipeline for ontology-based modeling and automated deployment of digital twins for planning and control of manufacturing systems22
Chatter detection for milling using novel p-leader multifractal features22
A novel transfer learning framework for chatter detection using convolutional neural networks22
A systematic literature review on recent trends of machine learning applications in additive manufacturing22
Self learning-empowered thermal error control method of precision machine tools based on digital twin22
A blockchain technology based trust system for cloud manufacturing22
Cost-oriented robotic assembly line balancing problem with setup times: multi-objective algorithms22
Energy-time tradeoffs for remanufacturing system scheduling using an invasive weed optimization algorithm22
Deep semi-supervised learning of dynamics for anomaly detection in laser powder bed fusion21
Multi-robot multi-operator collaborative assembly systems: a performance evaluation model21
Intelligent manufacturing Lie Group Machine Learning: real-time and efficient inspection system based on fog computing21
Adaptive self-learning mechanisms for updating short-term production decisions in an industrial mining complex21
Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis21
Trends in intelligent manufacturing research: a keyword co-occurrence network based review21
In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting21
YDRSNet: an integrated Yolov5-Deeplabv3 + real-time segmentation network for gear pitting measurement20
Bayesian network for integrated circuit testing probe card fault diagnosis and troubleshooting to empower Industry 3.5 smart production and an empirical study20
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks20
Demand forecasting application with regression and artificial intelligence methods in a construction machinery company20
Design and application of digital twin system for the blade-rotor test rig19
Failure prediction in production line based on federated learning: an empirical study19
3D facility layout problem19
Semi-supervised deep learning based framework for assessing manufacturability of cellular structures in direct metal laser sintering process18
Fuzzy harmony search based optimal control strategy for wireless cyber physical system with industry 4.018
Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning18
“FabNER”: information extraction from manufacturing process science domain literature using named entity recognition18
A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process18
In-situ monitoring laser based directed energy deposition process with deep convolutional neural network18
Statistical process monitoring in a specified period for the image data of fused deposition modeling parts with consistent layers18
Hybrid genetic algorithm based on bin packing strategy for the unrelated parallel workgroup scheduling problem18
A deep convolution generative adversarial networks based fuzzing framework for industry control protocols18
Automatic root cause analysis in manufacturing: an overview & conceptualization18
Implementation of a novel algorithm of wheelset and axle box concurrent fault identification based on an efficient neural network with the attention mechanism17
Automated guided vehicles position control: a systematic literature review17
Reinforcement learning applications to machine scheduling problems: a comprehensive literature review17
A cyber-physical system deployment based on pull strategies for one-of-a-kind production with limited resources16
MWRSPCA: online fault monitoring based on moving window recursive sparse principal component analysis16
A context-aware recommendation system for improving manufacturing process modeling16
A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization16
New metrics for measuring supply chain reconfigurability16
A digital twins concept model for integrated maintenance: a case study for crane operation16
Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization16
Novel method for detection of mixed-type defect patterns in wafer maps based on a single shot detector algorithm16
Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures15
Explainable AI for domain experts: a post Hoc analysis of deep learning for defect classification of TFT–LCD panels15
Current status, challenges and opportunities of sustainable ultra-precision manufacturing15
Underdetermined blind source extraction of early vehicle bearing faults based on EMD and kernelized correlation maximization15
An imbalanced data learning method for tool breakage detection based on generative adversarial networks15
A mixed adversarial adaptation network for intelligent fault diagnosis15
Sequential graph-based routing algorithm for electrical harnesses, tubes, and hoses in a commercial vehicle15
A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models15
Use of acoustic emission in combination with machine learning: monitoring of gas–liquid mixing in stirred tanks15
Automation platform independent multi-agent system for robust networks of production resources in industry 4.014
An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies14
Modular production control using deep reinforcement learning: proximal policy optimization14
A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing14
Real-time grasping strategies using event camera14
Predicting the quality of a machined workpiece with a variational autoencoder approach14
Genetic algorithm based approaches to solve the order batching problem and a case study in a distribution center14
Comprehensive learning Jaya algorithm for engineering design optimization problems14
An active safety control method of collision avoidance for intelligent connected vehicle based on driving risk perception14
Enhanced Equilibrium Optimizer algorithm applied in job shop scheduling problem14
A credit-based dynamical evaluation method for the smart configuration of manufacturing services under Industrial Internet of Things14
A smart process controller framework for Industry 4.0 settings14
Nonparametric-copula-entropy and network deconvolution method for causal discovery in complex manufacturing systems13
Machining quality monitoring (MQM) in laser-assisted micro-milling of glass using cutting force signals: an image-based deep transfer learning13
Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data13
Multi-objective optimization of the resistance spot welding process using a hybrid approach13
A novel normalized recurrent neural network for fault diagnosis with noisy labels13
Temporal anomaly detection on IIoT-enabled manufacturing13
A novel data-driven method based on sample reliability assessment and improved CNN for machinery fault diagnosis with non-ideal data13
Welding quality evaluation of resistance spot welding based on a hybrid approach13
Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach13
An effective adaptive adjustment method for service composition exception handling in cloud manufacturing13
Prescribed performance fuzzy back-stepping control of a flexible air-breathing hypersonic vehicle subject to input constraints13
Autoencoder-based anomaly detection of industrial robot arm using stethoscope based internal sound sensor13
Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning13
Applications of machine learning in metal powder-bed fusion in-process monitoring and control: status and challenges13
Cascaded foreign object detection in manufacturing processes using convolutional neural networks and synthetic data generation methodology13
Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective13
Digital twin-driven dynamic scheduling of a hybrid flow shop13
Product quality prediction in pulsed laser cutting of silicon steel sheet using vibration signals and deep neural network13
On reliability of reinforcement learning based production scheduling systems: a comparative survey13
Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning13
Improved multi-core arithmetic optimization algorithm-based ensemble mutation for multidisciplinary applications12
Discovering critical KPI factors from natural language in maintenance work orders12
Investigating the effect of value stream mapping on procurement effectiveness: a case study12
Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing12
A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques12
Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies12
Machine learning aided design of conformal cooling channels for injection molding12
A novel tolerance geometric method based on machine learning12
Reinforcement learning-based collision-free path planner for redundant robot in narrow duct12
Machine learning to determine the main factors affecting creep rates in laser powder bed fusion12
RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques12
A flexible alarm prediction system for smart manufacturing scenarios following a forecaster–analyzer approach11
Automated real-time detection of surface defects in manufacturing processes of aluminum alloy strip using a lightweight network architecture11
A real-time defective pixel detection system for LCDs using deep learning based object detectors11
An ontology model for maintenance strategy selection and assessment11
Intelligent bearing structure and temperature field analysis based on finite element simulation for sustainable and green manufacturing11
Modal parameter identification of general cutter based on milling stability theory11
Automatic solar cell diagnosis and treatment11
A novel NURBS surface approach to statistically monitor manufacturing processes with point cloud data11
Fast and accurate prediction of temperature evolutions in additive manufacturing process using deep learning11
Laser pyrolysis in papers and patents11
Reference training system for intelligent manufacturing talent education: platform construction and curriculum development11
Quality monitoring in multistage manufacturing systems by using machine learning techniques11
Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing11
A self-organized approach for scheduling semiconductor manufacturing systems11
Research on recognition methods of spot-welding surface appearances based on transfer learning and a lightweight high-precision convolutional neural network11
Technological troubleshooting based on sentence embedding with deep transformers11
Advances in machine learning and deep learning applications towards wafer map defect recognition and classification: a review11
Gaussian-process based modeling and optimal control of melt-pool geometry in laser powder bed fusion11
Optimization of the integrated fleet-level imperfect selective maintenance and repairpersons assignment problem11
0.026745796203613