Chuang Sun

According to our database1, Chuang Sun authored at least 30 papers between 2011 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Bayesian Differentiable Architecture Search for Efficient Domain Matching Fault Diagnosis.
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

Sequential Calibration Method of Nonlinear Errors of PIGA on Counter-Rotating Platform Centrifuge.
IEEE Trans. Instrum. Meas., 2021

A U-Net-Based Approach for Tool Wear Area Detection and Identification.
IEEE Trans. Instrum. Meas., 2021

Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
IEEE Trans. Instrum. Meas., 2021

Robust enhanced trend filtering with unknown noise.
Signal Process., 2021

mcrtFOAM: A mesh-agglomeration Monte Carlo ray-tracing solver for radiative transfer in gray semitransparent solids.
Comput. Phys. Commun., 2021

2020
Sparse Multiperiod Group Lasso for Bearing Multifault Diagnosis.
IEEE Trans. Instrum. Meas., 2020

Composite-Graph-Based Sparse Subspace Clustering for Machine Fault Diagnosis.
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

Adoption of Dynamic Contrast Enhanced Magnetic Resonance Imaging in Qualitative Diagnosis of Solid Breast Mass.
J. Medical Imaging Health Informatics, 2020

Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study.
CoRR, 2020

The Research on Strain-Softening Characteristics and Local Fracture Law of Deep Granite Roadway.
Complex., 2020

2019
A New Method for Calibrating Nonlinear Coefficients of PIGA on Linear Vibrator.
IEEE Trans. Instrum. Meas., 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

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis.
CoRR, 2019

Neuroadaptive Distributed Output Feedback Tracking Control for Multiple Marine Surface Vessels With Input and Output Constraints.
IEEE Access, 2019

2018
Sparse Deep Stacking Network for Fault Diagnosis of Motor.
IEEE Trans. Ind. Informatics, 2018

Deep Coupling Autoencoder for Fault Diagnosis With Multimodal Sensory Data.
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
A sparse approach to fault severity classification for gearbox monitoring.
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

2011
Hybrid intelligent fault diagnosis based on quotient space.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011


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