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Generative Artificial Intelligence for Chatter-Free Machining: A Critical Review on Synthetic Data, Application Pathways, and Future Grand Challenges

https://doi.org/10.2139/ssrn.6017737
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Active suppression of milling chatter based on LQR-ANFIS
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Development of a frictionally damped boring bar for chatter suppression in boring process
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Mitigation of chatter in thin-wall milling by using double-side support device
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Vibration-based tool condition monitoring in milling of Ti-6Al-4V using an optimization model of GM(1,N) and SVM
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On-line surface roughness classification for multiple CNC milling conditions based on transfer learning and neural network
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Material recognition method to enable adaptive drilling of multi-material aerospace stacks
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Physics-informed interpretable machine learning method for DOC monitoring in peripheral milling
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Chatter detection in simulated machining data: a simple refined approach to vibration data
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Chatter monitoring method of Ti-6Al-4V thin-walled parts based on MAML optimized transfer learning
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Real-time chatter detection during turning operation using wavelet scattering network
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An accurate roughness prediction in milling processes through analytical evaluation and KNN regression approach
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Enhanced chatter control in milling with electromagnetic actuator embedded in the tool holder
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Tool wear state prediction based on GAF-MTF-AlexNet
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Tool wear prediction based on multisensor data fusion and machine learning
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A comprehensive review on GANs for time-series signals
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Data Augmentation techniques in time series domain: a survey and taxonomy
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Generative adversarial networks review in earthquake-related engineering fields
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Tool wear classification in precision machining using distance metrics and unsupervised machine learning
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AI based modeling & optimization of arc machining of Ti–6Al–4V alloy using ANN-evolutionary algorithm
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Precision enhancement in CNC face milling through vibration-aided AI prediction of surface roughness
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Analyzing the correlation between tool vibration and flank wear in face milling of EN-31 steel employing the CRITIC approach
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Continuous wavelet transform based face milling tool condition classification using support vector machine and K-star algorithm–a comparative study
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A novel hybrid Bayesian-optimized CNN–SVM deep learning model for real-time surface roughness classification and prediction based on in-process machined surface image analysis
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Optimized VMD and novel ECK-Venn based approach to IMF selection for chatter and tool wear classification
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Comparative Analysis Between LMD and WDLMD for Identifying Suitability in Measuring Chatter Features During Turning Operation on CNC Lathe
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Chatter Identification on a Mobile Milling Machine: Experimental Insights Using Low-frequency Internal Sensors
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Notifying Type-2 Error and Segregating Undefined Conditions in Health Monitoring of Milling Cutter: A Statistical and Deep Learning Approach
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Monitoring of machining process anomalies in diamond turning of Ti6Al4V alloy using transfer learning-based algorithms
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Multi-fidelity modeling and neural network supported prediction of position and tool overhang length-dependent milling stability with limited labeled data
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Physics-supported Bayesian machine learning for chatter prediction with process damping in milling
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NetDiffus: Network traffic generation by diffusion models through time-series imaging
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Real-time earthquake magnitude prediction using designed machine learning ensemble trained on real and CTGAN generated synthetic data
inferredcites →https://doi.org/10.1016/j.ijmecsci.2022.107238openalex-snapshot
Vibration suppression using tuneable flexures acting as vibration absorbers
inferredcites →https://doi.org/10.1016/j.ijmecsci.2022.107553openalex-snapshot
Forced vibration mechanism and suppression method for thin-walled workpiece milling
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SDA: Regularization with Cut-Flip and Mix-Normal for machinery fault diagnosis under small dataset
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Physics-informed KNN milling stability model with process damping effects
inferredcites →https://doi.org/10.1016/j.jmapro.2024.09.091openalex-snapshot
Investigation on a chatter detection method based on meta learning for machining multiple types of workpieces
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Model-based tool wear detection and life prognostics for end-mill
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Position-oriented process monitoring in milling of thin-walled parts
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Interpretable tool wear monitoring: Architecture with large-scale CNN and adaptive EMD
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Machinery fault diagnosis with imbalanced data using deep generative adversarial networks
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Research of turbine rotor fault diagnosis based on improved auxiliary classification generative adversarial network
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Exploration of weak-PGML Method for Efficient Stability Control During Machining Operations
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SeisResoDiff: Seismic resolution enhancement based on a diffusion model
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A modified TimeGAN-based data augmentation approach for the state of health prediction of Lithium-Ion Batteries
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Understanding the effects of cutting conditions on vibrations, surface integrity, machining temperature and tool wear mechanisms in end milling of AISI D2 Steel
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Model predictive control based active chatter control in milling process
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Evaluation of automated stability testing in machining through closed-loop control and Bayesian machine learning
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Investigation on an in-process chatter detection strategy for micro-milling titanium alloy thin-walled parts and its implementation perspectives
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An online chatter detection and recognition method for camshaft non-circular contour high-speed grinding based on improved LMD and GAPSO-ABC-SVM
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Online chatter detection via lightweight deep learning framework with efficient signal pre-processing
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Chatter suppression in nonlinear milling of a flexible plate-workpiece with attached piezoelectric actuators: Comparison of soft-actor-critic-based controller vs optimized type-2 fuzzy controller
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A hybrid deep learning-based approach for on-line chatter detection in milling using deep stem-inception networks and residual channel-spatial attention mechanisms
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Addressing data scarcity in ML-based failure-cause identification in optical networks through generative models
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Suppress the vibration of tool system in milling process
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Biosignal Generation and Latent Variable Analysis With Recurrent Generative Adversarial Networks
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A New Deep Stacked Architecture for Multi-Fault Machinery Identification With Imbalanced Samples
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Data-Augmentation Based CBAM-ResNet-GCN Method for Unbalance Fault Diagnosis of Rotating Machinery
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Spectral Data Augmentation Using Deep Generative Model for Remote Chemical Sensing
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Robust Road Surface Classification Using Time Series Augmented Intelligent Tire Sensor Data and 1-D CNN
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An AIGC-Driven Score-Based Diffusion Approach for Industrial Time Series
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FMRGAN: Feature Mapping Reconstruction GAN for Rolling Bearings Fault Diagnosis Under Limited Data Condition
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Deep Diffusion for Training Chatter Detection Systems for Machine Tools
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Breaking Demodulation Limitations: AWG and Deep Learning in Dynamic Spectral Reconstruction for Differential FBG Accelerometers
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Generative Adversarial Networks in Fault Diagnosis and an Implementation Approach: A Review
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Generative Artificial Intelligence for Hyperspectral Sensor Data: A Review
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UniQGAN: Unified Generative Adversarial Networks for Augmented Modulation Classification
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Syn2Real Domain Generalization for Underwater Mine-Like Object Detection Using Side-Scan Sonar
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A Weighted Co-Training Framework for Emotion Recognition Based on EEG Data Generation Using Frequency-Spatial Diffusion Transformer
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Diff-MTS: Temporal-Augmented Conditional Diffusion-Based AIGC for Industrial Time Series Toward the Large Model Era
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Assessment of Tool Wear With Insufficient and Unbalanced Data Using Improved Conditional Generative Adversarial Net and High-Quality Optimization Algorithm
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ICoT-GAN: Integrated Convolutional Transformer GAN for Rolling Bearings Fault Diagnosis Under Limited Data Condition
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PatchEMG: Few-Shot EMG Signal Generation With Diffusion Models for Data Augmentation to Improve Classification Performance
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Generative adversarial networks for generating synthetic features for Wi-Fi signal quality
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Zero-Shot Generative AI for Rotating Machinery Fault Diagnosis: Synthesizing Highly Realistic Training Data via Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.3390/app9204380openalex-snapshot
Chatter Mitigation in Milling Process Using Discrete Time Sliding Mode Control with Type 2-Fuzzy Logic System
inferredcites →https://doi.org/10.3390/applmech6020039openalex-snapshot
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inferredcites →https://doi.org/10.3390/jsan13040042openalex-snapshot
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inferredcites →https://doi.org/10.3390/machines11080835openalex-snapshot
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inferredcites →https://doi.org/10.3390/machines12080559openalex-snapshot
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inferredcites →https://doi.org/10.3390/machines12120923openalex-snapshot
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inferredcites →https://doi.org/10.3390/machines13020132openalex-snapshot
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Generation of Synthetic Data for the Analysis of the Physical Stability of Tailing Dams through Artificial Intelligence
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inferredcites →https://doi.org/10.3390/s21238114openalex-snapshot
Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis
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Convolutional Neural Networks for Raw Signal Classification in CNC Turning Process Monitoring
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inferredcites →https://doi.org/10.5194/ms-16-167-2025openalex-snapshot
Research on online monitoring of chatter based on continuous wavelet transform and convolutional neural network–vision transformer (CNN-ViT)
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