Chuancang Ding
Orcid: 0000-0002-7610-5293
According to our database1,
Chuancang Ding
authored at least 39 papers
between 2019 and 2025.
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Bibliography
2025
Physics-Informed Uncertainty-Aware Dynamic Balancing Learning Framework for Unsupervised Universal Domain Generalization Diagnosis Scenario.
IEEE Trans. Instrum. Meas., 2025
Hybrid Constraints Embedding Variational Nonlinear Chirp Mode Decomposition for Rotating Machine Fault Diagnosis Under Time-Varying Speed Conditions.
IEEE Trans. Instrum. Meas., 2025
IEEE Trans. Instrum. Meas., 2025
Low-Rank Informed Adaptive Chirp Mode Decomposition and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Conditions.
IEEE Trans. Instrum. Meas., 2025
Interpretable Transfer Unrolling Network for Intelligent Cross-Domain Condition Monitoring of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2025
PC3Net: A prior-causal contrast-collaboration network for single domain generalization fault diagnosis.
Reliab. Eng. Syst. Saf., 2025
Class-aware quantitative adversarial network: a novel partial-set transfer mechanism for cross-domain fault diagnosis of rotating machinery.
Knowl. Based Syst., 2025
A physics-guided memory enhancement and causality-inspired generalization framework for continual fault diagnosis.
Knowl. Based Syst., 2025
Universal multimodal aggregation network with adaptive enhancement and semantic guidance for salient object detection.
Eng. Appl. Artif. Intell., 2025
A novel adaptive gating neurons model with physical features weighted for bearing fault diagnosis under strong noise.
Eng. Appl. Artif. Intell., 2025
CDARNet: A robust cross-dimensional adaptive region reconstruction network for real-time metal surface defect segmentation.
Adv. Eng. Informatics, 2025
Auxiliary-feature-embedded causality-inspired dynamic penalty networks for open-set domain generalization diagnosis scenario.
Adv. Eng. Informatics, 2025
2024
Partial Transfer Learning Method Based on Inter-Class Feature Transfer for Rolling Bearing Fault Diagnosis.
Sensors, August, 2024
Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions.
IEEE Trans. Ind. Informatics, April, 2024
Sparse Optimization Model Based on Sparse Matrix and Singular Value Vector for Fault Diagnosis of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2024
Low-Rank Constrained Multikernel General Parameterized Time-Frequency Transform and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Condition.
IEEE Trans. Instrum. Meas., 2024
Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples.
Knowl. Based Syst., 2024
Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation.
Expert Syst. Appl., 2024
Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis.
Adv. Eng. Informatics, 2024
Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data.
Adv. Eng. Informatics, 2024
Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis.
Adv. Eng. Informatics, 2024
Physics-informed unsupervised domain adaptation framework for cross-machine bearing fault diagnosis.
Adv. Eng. Informatics, 2024
2023
Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., December, 2023
Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy.
Knowl. Based Syst., December, 2023
A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions.
Reliab. Eng. Syst. Saf., October, 2023
Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery.
Adv. Eng. Informatics, October, 2023
Classifier Discrepancy Guided Soft-Weight Adaptation Network for Machinery Fault Diagnosis Under Domain and Category Shift.
IEEE Trans. Instrum. Meas., 2023
Sparse Low-Rank Matrix Estimation With Nonconvex Enhancement for Fault Diagnosis of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2023
Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis.
Knowl. Based Syst., 2023
Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis.
Eng. Appl. Artif. Intell., 2023
2022
Towards Prediction Constraints: A Novel Domain Adaptation Method for Machine Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2022
Toothwise Health Monitoring of Planetary Gearbox Under Time-Varying Speed Condition Based on Rotating Encoder Signal.
IEEE Trans. Ind. Electron., 2022
Cycle-consistent Adversarial Adaptation Network and its application to machine fault diagnosis.
Neural Networks, 2022
J. Intell. Manuf., 2022
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022
2020
Hierarchical Frequency-Domain Sparsity-Based Algorithm for Fault Feature Extraction of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2020
Classifier Inconsistency-Based Domain Adaptation Network for Partial Transfer Intelligent Diagnosis.
IEEE Trans. Ind. Informatics, 2020
Sparsity-Based Algorithm for Condition Assessment of Rotating Machinery Using Internal Encoder Data.
IEEE Trans. Ind. Electron., 2020
2019
Deep Coupled Dense Convolutional Network With Complementary Data for Intelligent Fault Diagnosis.
IEEE Trans. Ind. Electron., 2019