Chuang Sun

Orcid: 0000-0001-6616-3791

Affiliations:
  • Xi'an Jiaotong University, School of Mechanical Engineering, Xi'an, China


According to our database1, Chuang Sun authored at least 39 papers between 2012 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

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

2023
BP-SRM: A directly training algorithm for spiking neural network constructed by spike response model.
Neurocomputing, December, 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

Aircraft flight regime recognition with deep temporal segmentation neural network.
Eng. Appl. Artif. Intell., April, 2023

Defect-aware transformer network for intelligent visual surface defect detection.
Adv. Eng. Informatics, January, 2023

2022
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Deep-Learning-Based Open Set Fault Diagnosis by Extreme Value Theory.
IEEE Trans. Ind. Informatics, 2022

Superpixel Perception Graph Neural Network for Intelligent Defect Detection.
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

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

Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis.
IEEE Trans. Ind. Electron., 2021

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

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
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


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