Chuang Sun
Orcid: 0000-0001-6616-3791Affiliations:
- Xi'an Jiaotong University, School of Mechanical Engineering, Xi'an, China
According to our database1,
Chuang Sun
authored at least 46 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
WPConvNet: An Interpretable Wavelet Packet Kernel-Constrained Convolutional Network for Noise-Robust Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Physics-Constraint Variational Neural Network for Wear State Assessment of External Gear Pump.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis.
IEEE Trans. Cybern., January, 2024
Information-Imbalance Learning With Hazard-Sensitive Loss for Machine Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024
NorCLR: A Normality-Aggregated Contrastive Learning Framework for Mechanical Anomaly Detection.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
2023
BP-SRM: A directly training algorithm for spiking neural network constructed by spike response model.
Neurocomputing, December, 2023
Graph attention U-Net to fuse multi-sensor signals for long-tailed distribution fault diagnosis.
Eng. Appl. Artif. Intell., November, 2023
Intelligent temporal detection network for boundary-sensitive flight regime recognition.
Eng. Appl. Artif. Intell., November, 2023
Life-cycle modeling driven by coupling competition degradation for remaining useful life prediction.
Reliab. Eng. Syst. Saf., October, 2023
Industrial anomaly detection with domain shift: A real-world dataset and masked multi-scale reconstruction.
Comput. Ind., October, 2023
Global Prior Transformer Network in Intelligent Borescope Inspection for Surface Damage Detection of Aeroengine Blade.
IEEE Trans. Ind. Informatics, August, 2023
Interinstance and Intratemporal Self-Supervised Learning With Few Labeled Data for Fault Diagnosis.
IEEE Trans. Ind. Informatics, May, 2023
Eng. Appl. Artif. Intell., April, 2023
Adv. Eng. Informatics, January, 2023
2022
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Ind. Informatics, 2022
CoRR, 2022
2021
Bayesian Differentiable Architecture Search for Efficient Domain Matching Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study.
IEEE Trans. Instrum. Meas., 2021
Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021
Conditional Adversarial Domain Adaptation With Discrimination Embedding for Locomotive Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Ind. Electron., 2021
Learning from Class-imbalanced Data with a Model-Agnostic Framework for Machine Intelligent Diagnosis.
Reliab. Eng. Syst. Saf., 2021
Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction.
Reliab. Eng. Syst. Saf., 2021
Machine Anomaly Detection under Changing Working Condition with Syncretic Self-Regression Auto-Encoder.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
2020
IEEE Trans. Instrum. Meas., 2020
IEEE Trans. Instrum. Meas., 2020
Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection.
IEEE Trans. Ind. Informatics, 2020
A New Penalty Domain Selection Machine Enabled Transfer Learning for Gearbox Fault Recognition.
IEEE Trans. Ind. Electron., 2020
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study.
CoRR, 2020
2019
Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing.
IEEE Trans. Ind. Informatics, 2019
Joint Learning of Degradation Assessment and RUL Prediction for Aeroengines via Dual-Task Deep LSTM Networks.
IEEE Trans. Ind. Informatics, 2019
A Deep Coupled Network for Health State Assessment of Cutting Tools Based on Fusion of Multisensory Signals.
IEEE Trans. Ind. Informatics, 2019
Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study.
CoRR, 2019
2018
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Ind. Informatics, 2018
2017
Discriminative Deep Belief Networks with Ant Colony Optimization for Health Status Assessment of Machine.
IEEE Trans. Instrum. Meas., 2017
Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine.
IEEE Trans. Ind. Informatics, 2017
2016
Proceedings of the 19th International Conference on Information Fusion, 2016
2015
A Non-Probabilistic Metric Derived From Condition Information for Operational Reliability Assessment of Aero-Engines.
IEEE Trans. Reliab., 2015
2012
A Monotonic Degradation Assessment Index of Rolling Bearings Using Fuzzy Support Vector Data Description and Running Time.
Sensors, 2012