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Dynamic vision-enabled contactless machine fault diagnosis with neuromorphic domain generalization. [JII 2026]
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Multiscale scattering forests: A domain-generalizing approach for fault diagnosis under data constraints. [KBS 2026]
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Learning Category-Invariant Disentangled Features for Domain Generalization in Machine Fault Diagnosis.[TME 2026]
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Multi-scale Gaussian feature enhancement and prototype graph convolutional network for domain-generalized rolling bearing fault diagnosis. [ESWA 2026]
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Cross-Domain Fault Diagnosis Method of Rotating Machinery Based on Classifier Prediction Consistency and Domain Generalization. [TIM 2026]
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Decoupling intrinsic category features from domain variations for machine fault diagnosis under unknown operating conditions. [AEI 2026]
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Outshining the Origin: A Pseudo Sources Fusion Approach via Knowledge Distillation With Feature Decoupling for Domain Generalization in Fault Diagnosis. [TASE 2026]
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Multi-perspective domain-invariant network with energy density-based data augmentation for domain generalization fault diagnosis. [ESWA 2026]
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Domain interference suppression for reliable fault diagnosis under unseen operating conditions. [MSSP 2026]
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CFDNet: An Interpretable Causal Filtering Disentanglement Domain Generalization Network for Fault Diagnosis Under Unseen Conditions.[TII 2026]
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Self-Distillation-Based Domain Weighted Generalization Method for Fault Diagnosis Under Actual Unseen Working Conditions. [TIM 2026]
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Physics-semantics guided causal disentanglement for domain generalization in rotating machinery fault diagnosis. [AEI 2026]
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Collaborative generalization diagnosis to unknown operating conditions of transmission systems considering the scenarios of target data missing on training stage. [AEI 2026]
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TMFA-DG: time-multilevel feature alignment domain generalization network for intelligent fault diagnosis under unknown time-varying conditions. [Measurement 2026]
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A novel domain generalization framework for fault diagnosis of rotating machinery based on causal representation learning and causal feature identification.[EAAI 2026]
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Wavelet packet energy embedded autoencoder with dynamic weighting strategy for fault diagnosis under unknown working conditions. [RESS 2026]
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Multi-task disentangled transformer for robust domain generalization in fault diagnosis. [Measurement 2026]
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Dual-stage interpretable domain generalization fault diagnosis: integrating prior knowledge and gradient-weighted class activation mapping. [EAAI 2026]
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Feature Disentanglement Augmented Network for Vibration-Based Fault Diagnosis of Rotating Machinery Under Unknown Operating Conditions.[TIM 2026]
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A domain generalization fault diagnosis method based on matching optimization and causal disentanglement. [EAAI 2026]
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Distribution-aware consistency via aligned teacher-student domain generalization for machine fault diagnosis. [MSSP 2026]
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Working Condition-Decoupled and Invariant-Feature Fusion Transformer for Domain Generalization Intelligent Fault Diagnosis. [TSMC 2026]
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Target-free causal-gated domain generalization for rotating machinery fault diagnosis under operating-condition shifts in smart factories. [ASC 2026]
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A Novel Intraclass Similarity Spectrum for Multidomain Generalization Fault Diagnosis in Rotating Machinery.[TIM 2026]
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A multi-source domain-invariant acoustic feature extraction network for rotating machinery fault diagnosis under unknown cross-working conditions. [EAAI 2026]
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Learnable Center Domain Generalization Module for Rotating Machinery Fault Diagnosis under Cross-working Conditions. [IEEE Sensors 2026]
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Fully Simulated Data-Driven Domain Generalized Method for Multiphase Converters Fault Diagnosis. [TPE 2025]
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Multi-domain weakly decoupled domain generalization network for fault diagnosis under unknown operating conditions. [KBS 2025]
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Continuously Indexed Domain Generalization for Fault Diagnosis under Continuously Varying Working Conditions. [TIM 2025]
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Semantics-Consistent Representation Learning for Industrial Fault Diagnosis in Unseen Domains. [IoT 2025]
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Domain Adversarial and Causal Trend Alignment Transformer: A Domain Generalization Architecture for Planetary Gearbox Cross-working Fault Diagnosis. [IoT 2025]
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A physics-guided memory enhancement and causality-inspired generalization framework for continual fault diagnosis. [KBS 2025]
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Interpretable generalization diagnosis: Variational causal disentanglement-based coalitional game attribution network. [EAAI 2025]
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A dual-perspective joint domain generalization network for bearing fault diagnosis under unseen working conditions [AEI 2025]
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Specific Task-Guided Collaborative Domain Generalization Network for Intelligent Fault Diagnosis under Unseen Conditions [IoT 2025]
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Few-Shot Diffusion Domain Generalization for Diagnosing Joint Reducer Faults in Industrial Robots [TIM 2025]
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Latent subdomain assignment based on pseudo domain labels for fault diagnosis of unseen data [AEI 2025]
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A discriminator-free adversarial network for bearing fault diagnosis under unseen operating conditions [AA 2025]
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Operation Condition Assessment for Elevators Based on Multidomain Generalization and Adaptation [TMEC 2025]
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Multi-bearing fault diagnosis method based on convolutional autoencoder causal decoupling domain generalization [ISA 2025]
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Fault Diagnosis of Unseen Modes in Chemical Process via Fusing Invariance and Specificity [TIM 2025]
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Knowledge-informed multiplication convolution generalization network for interpretable equipment diagnosis under unknown speed domains [ASC 2025]
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Bearing fault diagnosis domain generalization network based on multi-scale feature alignment [MST 2025]
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A Causality-Inspired Capsule Network for Domain Generalization in Cross-Domain Fault Diagnosis of Rolling Bearing [TIM 2025]
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Dynamic Meta-Decoupler-inspired Single-Universal Domain Generalization for Intelligent Fault Diagnosis [ESWA 2025]
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UDDGN: Domain-Independent Compact Boundary Learning Method for Universal Diagnosis Domain Generation [TIM 2025]
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Enhancing Bearing Fault Diagnosis in Real Damages: A Hybrid Multidomain Generalization Network for Feature Comparison [TIM 2025]
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Neuromorphic computing-enabled generalized machine fault diagnosis with dynamic vision [AEI 2025]
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Domain generalization network based on inter-domain multivariate linearization for intelligent fault diagnosis [RESS 2025]
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DG-Softmax: A new domain generalization intelligent fault diagnosis method for planetary gearboxes [RESS 2025]
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Multiple classifiers inconsistency-based deep adversarial domain generalization method for cross-condition fault diagnosis in rotating systems [RESS 2025]
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Cross-domain machinery fault diagnosis under unseen working conditions based on multiple auxiliary classifiers [TIOM 2025]
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Mutual Information-guided Domain Shared Feature Learning for Bearing Fault Diagnosis under Unknown Conditions [TIM 2025]
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A Domain Generalization Method for Fault Diagnosis: Integrating Causal Leaming and Distributionally Robust Optimization [TIM 2025]
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Dual disentanglement domain generalization method for rotating Machinery fault diagnosis [MSSP 2025]
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Deep Causal Disentanglement Network with Domain Generalization for Cross-machine Bearing Fault Diagnosis [TIM 2025]
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A Source Domain Adaptive Method for Transfer-Learning-Based Fault Diagnosis of Train Bogie Bearings at Higher Speeds [TIM 2025]
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Frequency domain guided latent diffusion model for domain generalization in cross-machine fault diagnosis [Measurement 2025]
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Invariant Feature Purification Method for Domain Generalization of Rolling Bearing Fault Diagnosis [TIM 2025]
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Fault vibration model driven fault-aware domain generalization framework for bearing fault diagnosis. Advanced Engineering Informatics
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Domain-invariant feature exploration for intelligent fault diagnosis under unseen and time-varying working conditions [MSSP 2024]
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Adversarial-Causal Representation Learning Networks for Machine fault diagnosis under unseen conditions based on vibration and acoustic signals [EAAI 2024]
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A novel hybrid data-driven domain generalization approach with dual-perspective feature fusion for intelligent fault diagnosis [EAAI 2024]
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Bearing fault diagnostic framework under unknown working conditions based on condition-guided diffusion model [Measurement 2024]
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Utilizing Bayesian generalization network for reliable fault diagnosis of machinery with limited data [KBS 2024]
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Self-adaptive fault diagnosis for unseen working conditions based on digital twins and domain generalization [RESS 2024]
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A bearing fault diagnosis method for unknown operating conditions based on differentiated feature extraction [ISA 2024]
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Fully Simulated Data Driven Domain Generalized Method for Multiphase Converters Fault Diagnosis [TPEL 2024]
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Meta-Learning-Based Domain Generalization for Cost-Effective Tool Condition Monitoring in Ultrasonic Metal Welding [TII 2024]
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Deep subdomain adversarial network with self-supervised learning for aero-engine high speed bearing fault diagnosis with unknown working conditions [Measurement 2024]
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Domain-augmented meta ensemble learning for mechanical fault diagnosis from heterogeneous source domains to unseen target domains [ESWA 2024]
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Distance Aware Risk Minimization for Domain Generalization in Machine Fault Diagnosis [IOT 2024] [Code]
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Causality-inspired multi-source domain generalization method for intelligent fault diagnosis under unknown operating conditions [RESS 2024]
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DPICEN: Deep Physical Information Consistency Embedded Network for Bearing Fault Diagnosis under Unknown Domain [RESS 2024]
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A domain feature decoupling network for rotating machinery fault diagnosis under unseen operating conditions [RESS 2024]
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Domain Generalization Combining Covariance Loss With Graph Convolutional Networks for Intelligent Fault Diagnosis of Rolling Bearings [TII 2024]
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CIS2N: Causal independence and sparse shift network for rotating machinery fault diagnosis in unseen domains [RESS 2024]
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Feature Adaptive Modulation and Prototype Learning for Domain Generalization Intelligent Fault Diagnosis [TII 2024]
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A novel causal feature learning-based domain generalization framework for bearing fault diagnosis with a mixture of data from multiple working conditions and machines [AEI 2024]
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Sharpness-Aware Gradient Alignment for Domain Generalization With Noisy Labels in Intelligent Fault Diagnosis [TIM 2024]
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Fault vibration model driven fault-aware domain generalization framework for bearing fault diagnosis [AEI 2024]
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Chemical fault diagnosis network based on single domain generalization [PROCESS SAF ENVIRON 2024]
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Operating Condition Generalization Network for Fault Diagnosis of Brushless DC Motors [TIE 2024]
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Novel Triplet Loss-Based Domain Generalization Network for Bearing Fault Diagnosis with Unseen Load Condition [Process 2024]
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Unknown working condition fault diagnosis of rotate machine without training sample based on local fault semantic attribute [AEI 2024]
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Stochastic Embedding Domain Generalization Network for Rotating Machinery Fault Diagnosis under Unseen Operating Conditions [IEEE Sensors 2024]
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Fault Diagnosis of Rotating Machinery Toward Unseen Working Condition: A Regularized Domain Adaptive Weight Optimization [TII 2024]
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Semi-physical simulation-driven contrastive decoupling net for intelligent fault diagnosis of unseen machines under varying speed [MST 2024]
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Dynamic Balanced Dual Prototypical Domain Generalization for Cross-Machine Fault Diagnosis [TIM 2024]
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Novel Adversarial Unsupervised Subdomain Adaption Multi-Channel Deep Convolutional Network for Cross-Operating Fault Diagnosis of Rolling Bearings [IEEE ACCESS 2024]
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PhysiCausalNet: A Causal- and Physics-Driven Domain Generalization Network for Cross-Machine Fault Diagnosis of Unseen Domain [TII 2024]
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Zero-Shot Fault Diagnosis for Smart Process Manufacturing via Tensor Prototype Alignment [TNNLS 2024]
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Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios [AEI 2024]
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Domain generalization of chemical process fault diagnosis by maximizing domain feature distribution alignment [PROCESS SAF ENVIRON 2024]
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Causal Disentanglement Domain Generalization for time-series signal fault diagnosis [NN 2024]
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Industrial process fault diagnosis based on feature enhanced meta-learning toward domain generalization scenarios [KBS 2024]
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A Domain Generalization Network Exploiting Causal Representations and Non-causal Representations for Three-Phase Converter Fault Diagnosis [TIM 2024]
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Rolling Bearing Fault Diagnosis Method Based On Dual Invariant Feature Domain Generalization [TIM 2024]
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Stacked maximum independence autoencoders: A domain generalization approach for fault diagnosis under various working conditions [MSSP 2024]
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Causal explaining guided domain generalization for rotating machinery intelligent fault diagnosis [ESA 2024]
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Task-Generalization-Based Graph Convolutional Network for Fault Diagnosis of Rod-Fastened Rotor System [TII 2023]
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VIT-GADG: A Generative Domain Generalized Framework for Chillers Fault Diagnosis under Unseen Working Conditions [TIM 2023]
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Gradient aligned domain generalization with a mutual teaching teacher-student network for intelligent fault diagnosis [RESS 2023]
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A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions [RESS 2023]
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Fine-grained transfer learning based on deep feature decomposition for rotating equipment fault diagnosis [MST 2023]
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Few-shot learning under domain shift: Attentional contrastive calibrated transformer of time series for fault diagnosis under sharp speed variation [MSSP 2023]
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An information-induced fault diagnosis framework generalizing from stationary to unknown nonstationary working conditions [RESS 2023]
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Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions [TIM 2023]
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Relationship transfer domain generalization network for rotating machinery fault diagnosis under different working conditions [TII 2023]
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Meta-Learning Based Domain Generalization Framework for Fault Diagnosis with Gradient Aligning and Semantic Matching [TII 2023]
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TinyML-enabled edge implementation of transfer learning framework for domain generalization in machine fault diagnosis [ESWA 2023]
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Deep causal factorization network: A novel domain generalization method for cross-machine bearing fault diagnosis [MSSP 2023]
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Domain augmentation generalization network for real-time fault diagnosis under unseen working conditions [RESS 2023]
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Deep mixed domain generalization network for intelligent fault diagnosis under unseen conditions [TIE 2023]
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Cross-Domain Augmentation Diagnosis: An Adversarial Domain-Augmented Generalization Method for Fault Diagnosis under Unseen Working Conditions [RESS 2023]
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A reliable feature-assisted contrastive generalization net for intelligent fault diagnosis under unseen machines and working conditions [MSSP 2022]
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Domain Transferability-based Deep Domain Generalization Method Towards Actual Fault Diagnosis Scenarios [TII 2022]
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A domain generalization network combing invariance and specificity towards real-time intelligent fault diagnosis [MSSP 2022] [Code]
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Domain Generalization Model of Deep Convolutional Networks Based on SAND-Mask [algorithms 2022]
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Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis [TIM 2022]
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Fault Diagnosis of Rotating Machinery Under Multiple Operating Conditions Generalization: A Representation Gradient Muting Paradigm [TIM 2022]
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Conditional Contrastive Domain Generalization for Fault Diagnosis [TIM 2022][Code]
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Sparsity-Constrained Invariant Risk Minimization for Domain Generalization With Application to Machinery Fault Diagnosis Modeling [TCYB 2022]
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NTScatNet: An interpretable convolutional neural network for domain generalization diagnosis across different transmission paths [Measurement 2022]
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A Hybrid Matching Network for Fault Diagnosis under Different Working Conditions with Limited Data [Computational Intelligence and Neuroscience 2022]
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Deep Domain Generalization Combining APriori Diagnosis Knowledge Toward Cross-Domain Fault Diagnosis of Rolling Bearing [TIM 2022]
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Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis [TIM 2022] [Code]
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Whitening-Net: A Generalized Network to Diagnose the Faults Among Different Machines and Conditions [TNNLS 2022]
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A single-source domain generalization method based on multi-pseudo domain generation and feature disentanglement. [Neurocomputing 2026]
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A single domain generalization fault diagnosis method based on multi-scale style enhancement and causal contribution alignment. [EAAI 2026]
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Single domain generalization method based on simulation-experiment data fusion and meta-learning for rotating machinery fault diagnosis. [EAAI 2026]
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A causal-aware generalization network based on style-transfer data-augmentation module for single-source imbalanced domain generalization diagnosis scenario. [EAAI 2026]
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Targeted Augmentation Domain-Mixed Network for Single-Source Domain Generalization Fault Diagnosis. [TR 2026]
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Partial domain generalization via variable data augmentation for machine fault diagnosis. [Measurement 2026]
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A single-domain generalization framework integrating Zernike-Based detail blur feature extraction and Mamba global attention mechanism. [MSSP 2026]
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Attention-throughout: a latent diffusion approach for single domain generalization in machinery fault diagnosis. [AEI 2026]
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Simulation driven speed aware conditional diffusion model and its application to domain generalization fault diagnosis of bearings. [Measurement 2026]
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PurifyFD: Mining Latent Domains for Trustworthy Single-Domain Fault Diagnosis Under Open-World Shifts. [TII 2026]
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SEE–GROW: Reliable exploration and boundary-aware learning for open-set single-domain generalization in fault diagnosis. [MSSP 2026]
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Order spectrum correction-based imbalanced single-domain generalization fault diagnosis for bearings under varying operating conditions [SHM 2026]
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Single domain generalization method based on simulation-experiment data fusion and meta-learning for rotating machinery fault diagnosis. [EAAI 2026]
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Domain Perturbation With Uncertainty for Bearing Fault Diagnosis Under Unseen Conditions. [TCYB 2025]
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A Novel Generative Domain Generalization Network for Intelligent Fault Diagnosis Under Unknown Operating Conditions. [TIM 2025]
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PC3Net: A prior-causal contrast-collaboration network for single domain generalization fault diagnosis. [RESS 2025]
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IBN-MixStyle Network With Dynamic Weighted Invariant Risk Minimization for Domain-Generalized Bearing Fault Diagnosis.[TCE 2025]
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Balancing Discrepancy and Consistency: Adversarial Single Domain Generalization in Fault Diagnosis. [TII 2025]
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Intra-domain self generalization network for intelligent fault diagnosis of bearings under unseen working conditions.[AEI 2025]
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Discrete wavelet convolutional network with cross-contrast perturbation for single domain generalization in fault diagnosis.[MSSP 2025]
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Multi-style adversarial variational self-distillation in randomized domains for single-domain generalized fault diagnosis [CII 2025]
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A Generic Single-Source Domain Generalization Framework for Fault Diagnosis via Wavelet Packet Augmentation and Pseudo-Domain Generation [IoT 2025]
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Addressing unknown faults diagnosis of transport ship propellers system based on adaptive evolutionary reconstruction metric network [AEI 2025]
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Fault Diagnosis in Rolling Bearings Using Multi-Gaussian Attention and Covariance Loss for Single Domain Generalization [TIM 2025]
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Dual adversarial and contrastive network for single-source domain generalization in fault diagnosis [AEI 2025]
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SDCGAN: A CycleGAN-Based Single-Domain Generalization Method for Mechanical Fault Diagnosis [RESS 2025]
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Uncertainty-guided adversarial augmented domain networks for single domain generalization fault diagnosis [Measurement 2024]
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Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples [CII 2024][Code]
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Simulation data-driven attention fusion network with multi-similarity metric: A single-domain generalization diagnostic method for tie rod bolt loosening of a rod-fastening rotor system [MEASUREMENT 2024]
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Single imbalanced domain generalization network for intelligent fault diagnosis of compressors in HVAC systems under unseen working conditions [Energy & Buildings 2024]
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Single Source Cross-Domain Bearing Fault Diagnosis via Multi-Pseudo Domain Augmented Adversarial Domain-Invariant Learning [JIOT 2024]
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Single domain generalization method based on anti-causal learning for rotating machinery fault diagnosis [RESS 2024]
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DP2Net: A discontinuous physical property-constrained single-source domain generalization network for tool wear state recognition [MSSP 2024]
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Gradient-based domain-augmented meta-learning single-domain generalization for fault diagnosis under variable operating conditions [SHM 2024]
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HmmSeNet: A Novel Single Domain Generalization Equipment Fault Diagnosis Under Unknown Working Speed Using Histogram Matching Mixup[TII 2024]
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Support-Sample-Assisted Domain Generalization via Attacks and Defenses: Concepts, Algorithms, and Applications to Pipeline Fault Diagnosis [TII 2024]
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