Data-driven unsupervised anomaly detection of manufacturing processes with multi-scale prototype augmentation and multi-sensor data

2024-12-1

Multi-source online transfer learning based on hybrid physics-data model for cross-condition tool health monitoring

2024-12-1

Multi-agent reinforcement learning for integrated manufacturing system-process control

2024-10-1

Selection of disassembly schemes for multiple types of waste mobile phones based on knowledge reuse and disassembly line balancing

2024-10-1

A novel Soft Actor–Critic framework with disjunctive graph embedding and autoencoder mechanism for Job Shop Scheduling Problems

2024-10-1

A literature survey of smart manufacturing systems for medical applications

2024-10-1

Developing a deep learning-based uncertainty-aware tool wear prediction method using smartphone sensors for the turning process of Ti-6Al-4V

2024-10-1

A hybrid method combining analytical and simulation models for performance evaluation of reconfigurable manufacturing systems

2024-10-1

A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent manufacturing

2024-10-1

A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems

2024-10-1

A meta-PINN framework for online operational monitoring of high-power induction furnace

2024-10-1

Topological Data Analysis in smart manufacturing: State of the art and future directions

2024-10-1

A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control

2024-10-1

A dual-stream spatio-temporal fusion network with multi-sensor signals for remaining useful life prediction

2024-10-1

Reinforcement learning for distributed hybrid flowshop scheduling problem with variable task splitting towards mass personalized manufacturing

2024-10-1

Industrial Metaverse: A proactive human-robot collaboration perspective

2024-10-1

A novel fine-grained assembly sequence planning method based on knowledge graph and deep reinforcement learning

2024-10-1

ProcessCarbonAgent: A large language models-empowered autonomous agent for decision-making in manufacturing carbon emission management

2024-10-1

A novel fault early warning method for centrifugal blowers based on stacked denoising autoencoder and transfer learning

2024-10-1

A holistic sustainability framework for remanufacturing under uncertainty

2024-10-1

Industrial metaverse towards Industry 5.0: Connotation, architecture, enablers, and challenges

2024-10-1

A high-flexible multi-objective stochastic planning system based on nozzle-combined printing in display manufacturing

2024-10-1

A digital twin-based assembly model for multi-source variation fusion on vision transformer

2024-10-1

Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol

2024-10-1

A causal based method for denoising non-homologous noises in time series manufacturing monitoring data

2024-10-1

Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part I): Design thinking and modeling methods

2024-10-1

Digitally enhanced lubricant evaluation and improvement framework through developing digital characteristics (DC) for hot forging of aluminium alloys

2024-10-1

Manufacturing process optimization for real-time quality control in multi-regime conditions: Tire tread production use case

2024-10-1

Modeling and scheduling a triply-constrained flow shop in biomanufacturing systems

2024-10-1

Digital twin and blockchain-enabled trusted optimal-state synchronized control approach for distributed smart manufacturing system in social manufacturing

2024-10-1

Self-X heterogeneous attributed graph embedding-based product configuration framework for cognitive mass personalization

2024-10-1

Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle

2024-10-1

A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly

2024-10-1

Superpixel perception graph neural network for intelligent defect detection of aero-engine blade

2024-9-14

Spot-checking machine learning algorithms for tool wear monitoring in automatic drilling operations in CFRP/Ti6Al4V/Al stacks in the aircraft industry

2024-9-13

Point cloud self-supervised learning for machining feature recognition

2024-9-12

Editorial Board

2024-9-11

Expanding the horizons of metal additive manufacturing: A comprehensive multi-objective optimization model incorporating sustainability for SMEs

2024-9-11

Tool wear monitoring based on physics-informed Gaussian process regression

2024-9-10

Developing physics-informed filters to align unattributed fragmental manufacturing data against a digital characteristics space (DCS)

2024-9-7

An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model

2024-9-1

Abnormal pattern recognition for online inspection in manufacturing process based on multi-scale time series classification

2024-8-22

A multi-level action coupling reinforcement learning approach for online two-stage flexible assembly flow shop scheduling

2024-8-16

Ball-end tool wear monitoring and multi-step forecasting with multi-modal information under variable cutting conditions

2024-8-9

Planning of multi-production line maintenance

2024-8-1

Digital twin-based anomaly detection for real-time tool condition monitoring in machining

2024-8-1

Leveraging small-scale datasets for additive manufacturing process modeling and part certification: Current practice and remaining gaps

2024-8-1

Cloud-edge-end-based aircraft assembly production quality monitoring system framework and applications

2024-8-1

Improving production and maintenance planning with meta-learning-based failure prediction

2024-8-1

Ensemble Bayesian Network for root cause analysis of product defects via learning from historical production data

2024-8-1