This is a repository about Domain Generalization for PHM, including papers, code, datasets etc.
We will continue to update this repository and hope this repository can benefit your research.
We list papers, implementation code (the unofficial code is marked with *), etc, in the order of year.
- Domain Generalization for Cross-Domain Fault Diagnosis: an Application-oriented Perspective and a Benchmark Study [RESS 2024] （第一篇关于DGFD的综述）
Basic setting:class space between mutiple source domains and unseen target domain is same.
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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]
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Whitening-Net: A Generalized Network to Diagnose the Faults Among Different Machines and Conditions [TNNLS 2022]
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Causal Disentanglement: A Generalized Bearing Fault Diagnostic Framework in Continuous Degradation Mode [TNNLS 2021]
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A hybrid generalization network for intelligent fault diagnosis of rotating machinery under unseen working conditions [TIM 2021]
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Adversarial domain-invariant generalization: a generic domain-regressive framework for bearing fault diagnosis under unseen conditions [TII 2021]
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Intelligent Fault Identification Based on MultiSource Domain Generalization Towards Actual Diagnosis Scenario [TIE 2020]
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Domain generalization in rotating machinery fault diagnostics using deep neural networks [Neurocomputing 2020]
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Learn Generalization Feature via Convolutional Neural Network: A Fault Diagnosis Scheme Toward Unseen Operating Conditions [IEEE Access 2020]
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Heterogeneous Federated Learning: Client-side Collaborative Update Inter-Domain Generalization Method for Intelligent Fault Diagnosis [IOT 2024][Code]
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FedITA: A cloud–edge collaboration framework for domain generalization-based federated fault diagnosis of machine-level industrial motors [AEI 2024]
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A blockchain-empowered secure federated domain generalization framework for machinery fault diagnosis [AEI 2024]
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Heterogeneous Federated Domain Generalization Network With Common Representation Learning for Cross-Load Machinery Fault Diagnosis [TSMC 2024][Code]
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Decentralized federated domain generalization with cluster alignment for fault diagnosis [Control Engineering Practice 2024]
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Fusing consensus knowledge: A federated learning method for fault diagnosis via privacy-preserving reference under domain shift [IF 2024]
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A federated distillation domain generalization framework for machinery fault diagnosis with data privacy [EAAI 2024][Code]
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Federated domain generalization for intelligent fault diagnosis based on pseudo‑siamese network and robust global model aggregation [IJMLC 2023]
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Federated Domain Generalization With Global Robust Model Aggregation Strategy For Bearing Fault Diagnosis [MST 2023]
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Federated Domain Generalization: A Secure and Robust Framework for Intelligent Fault Diagnosis [TII 2023][Code]
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Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy [KBS 2023]
One source domain are labeled and other source domains are unlabeled.
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An Auxiliary Branch Semi-supervised Domain Generalization Network for Unseen Working Conditions Bearing Fault Diagnosis [IEEE SENSOR 2024]
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Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis [TNNLS 2024]
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Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis [EAAI 2023]
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Domain fuzzy generalization networks for semi-supervised intelligent fault diagnosis under unseen working conditions [MSSP 2023]
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Mutual-assistance semisupervised domain generalization network for intelligent fault diagnosis under unseen working conditions [MSSP 2023][Code]
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A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis [TIM 2023]
- Deep Semisupervised Domain Generalization Network for Rotary Machinery Fault Diagnosis Under Variable Speed [TIM 2020]
Class space among multiple source domains and unseen target domain is different.
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Open-set domain generalization for fault diagnosis through data augmentation and a dual-level weighted mechanism [AEI 2024]
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Curriculum learning-based domain generalization for cross-domain fault diagnosis with category shift [MSSP 2024]
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A Novel Multidomain Contrastive-Coding-Based Open-Set Domain Generalization Framework for Machinery Fault Diagnosis [TII 2023]
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A Customized Meta-Learning Framework for Diagnosing New Faults From Unseen Working Conditions With Few Labeled Data [IEEE/ASME MEC 2023]
- Adaptive open set domain generalization network: Learning to diagnose unknown faults under unknown working conditions [RESS 2022][Code]
Sample number for differnt classes in source domains are different.
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A two-stage learning framework for imbalanced semi-supervised domain generalization fault diagnosis under unknown operating conditions [AEI 2024]
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Multi-domain Class-imbalance Generalization with Fault Relationship-induced Augmentation for Intelligent Fault Diagnosis [TIM 2024]
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Long-tailed multi-domain generalization for fault diagnosis of rotating machinery under variable operating conditions [SHM 2024]
- Imbalanced Domain Generalization via Semantic-Discriminative Augmentation for Intelligent Fault Diagnosis [AEI 2023][Code]
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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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Single domain generalizable and physically interpretable bearing fault diagnosis for unseen working conditions [ESA 2023]
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Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis [RESS 2023]
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An Adversarial Single-Domain Generalization Network for Fault Diagnosis of Wind Turbine Gearboxes [J MAR SCI ENG 2023]
- Adversarial Mutual Information-Guided Single Domain Generalization Network for Intelligent Fault Diagnosis [TII 2022]
There are eight open-source dataset and two self-collected dataset for research of domain generalization-based fault diagnosis.
| Index | Year | Dataset Name | Component | Generation | Working Condition | Original data link | Alternate data Link |
|---|---|---|---|---|---|---|---|
| 1 | 2006 | IMS | bearing | Run to failure | Single working condition | [data link] | [data link] |
| 2 | 2013 | JNU | bearing | artifical | Multiple working conditions | / | [data link] |
| 3 | 2015 | CWRU | bearing | artifical | Multiple working conditions | [data link] | [data link] |
| 4 | 2016 | PU | bearing | artifical and run to failure | Multiple working conditions | [data link] | [data link] |
| 5 | 2016 | SCP | bearing | artifical | Single working condition | / | [data link] |
| 6 | 2018 | XJTU | bearing | Run to failure | Multiple working conditions | [data link] | [data link] |
| 7 | 2018 | PHM09 | gearbox | artifical | Multiple working conditions | / | [data link] |
| 8 | 2021 | LW | bearing | artifical | Multiple working conditions | [data link] | [data link] |
| 9 | 2022 | HUSTbearing | bearing | artifical | Multiple working conditions | / | [data link] |
| 10 | 2022 | HUSTgearbox | gearbox | artifical | Multiple working conditions | / | [data link] |
Our benchmark code is released at [Code link]
Another benchmark code is released at [Code link]
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Domain Invariant and Consistent Ordinal Representation Learning for Remaining Useful Life Prediction of Bearings [TII 2024]
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Domain generalization for rotating machinery real-time remaining useful life prediction via multi-domain orthogonal degradation feature exploration [MSSP 2024]
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Remaining useful life prediction of machinery based on performanceevaluation and online cross-domain health indicator under unknownworking conditions [JMS 2024]
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A Life-Stage Domain Aware Network for Bearing Health Prognosis Under Unseen Temporal Distribution Shift [TIM 2024]
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Uncertainty-Weighted Domain Generalization for Remaining Useful Life Prediction of Rolling Bearings under Unseen Conditions [IEEE Sensors 2024]
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An Optimal-Subdomain Generalization Method for Remaining Useful Life Prediction of Machinery Under Time-Varying Operation Conditions [TII 2024]
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Domain generalization via adversarial out-domain augmentation for remaining useful life prediction ofbearings under unseen conditions [KBS 2023]
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Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction [JMS 2023]
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Multi-source domain generalization for degradation monitoring of journal bearings under unseen conditions [RESS 2022]
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Meta domain generalization for smart manufacturing: Tool wear prediction with small data [JMS 2022]
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Health Assessment of Rotating Equipment With Unseen Conditions Using Adversarial Domain Generalization Toward Self-Supervised Regularization Learning [IEEE/ASME MEC 2022]
If you have any problem, please feel free to contact me.
Name: Chao Zhao
Email address: [email protected]
If you find this paper and repository useful, please cite our paper
@article{Zhao2024domain,
title={Domain Generalization for Cross-Domain Fault Diagnosis: an Application-oriented Perspective and a Benchmark Study},
author={Zhao, Chao and Zio, Enrico and Shen, Weiming},
journal={Reliability Engineering & System Safety},
pages={109964},
year={2024}
}