A Monotonic Degradation Assessment Index of Rolling Bearings Using Fuzzy Support Vector Data Description and Running Time. - Zhongjie Shen; Zhengjia He; Xuefeng Chen 002; Chuang Sun 001; Zhiwen Liu (Sensors, 2012)

A Non-Probabilistic Metric Derived From Condition Information for Operational Reliability Assessment of Aero-Engines. - Chuang Sun 001; Zhengjia He; Hongrui Cao; Zhousuo Zhang; Xuefeng Chen 002; Ming Jian Zuo (IEEE Trans. Reliab., 2015)

A sparse approach to fault severity classification for gearbox monitoring. - Chuang Sun 001; Peng Wang 019; Ruqiang Yan 001; Robert X. Gao (FUSION, 2016)

Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine. - Ruonan Liu; Guotao Meng; Boyuan Yang 002; Chuang Sun 001; Xuefeng Chen 002 (IEEE Trans. Ind. Informatics, 2017)

Discriminative Deep Belief Networks with Ant Colony Optimization for Health Status Assessment of Machine. - Meng Ma; Chuang Sun 001; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2017)

Deep Coupling Autoencoder for Fault Diagnosis With Multimodal Sensory Data. - Meng Ma; Chuang Sun 001; Xuefeng Chen 002 (IEEE Trans. Ind. Informatics, 2018)

Sparse Deep Stacking Network for Fault Diagnosis of Motor. - Chuang Sun 001; Meng Ma; Zhibin Zhao 002; Xuefeng Chen 002 (IEEE Trans. Ind. Informatics, 2018)

Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study. - Zhibin Zhao 002; Qiyang Zhang; Xiaolei Yu; Chuang Sun 001; Shibin Wang; Ruqiang Yan 001; Xuefeng Chen 002 (CoRR, 2019)

A Deep Coupled Network for Health State Assessment of Cutting Tools Based on Fusion of Multisensory Signals. - Meng Ma; Chuang Sun 001; Xuefeng Chen 002; Xingwu Zhang; Ruqiang Yan 001 (IEEE Trans. Ind. Informatics, 2019)

Joint Learning of Degradation Assessment and RUL Prediction for Aeroengines via Dual-Task Deep LSTM Networks. - Huihui Miao; Bing Li 023; Chuang Sun 001; Jie Liu 031 (IEEE Trans. Ind. Informatics, 2019)

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing. - Chuang Sun 001; Meng Ma; Zhibin Zhao 002; Shaohua Tian; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Ind. Informatics, 2019)

Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study. - Zhibin Zhao 002; Tianfu Li; Jingyao Wu 001; Chuang Sun 001; Shibin Wang; Ruqiang Yan 001; Xuefeng Chen 002 (CoRR, 2020)

A New Penalty Domain Selection Machine Enabled Transfer Learning for Gearbox Fault Recognition. - Fei Shen 003; Yun Hui; Ruqiang Yan 001; Chuang Sun 001; Jiawen Xu 002 (IEEE Trans. Ind. Electron., 2020)

Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection. - Jingyao Wu 001; Zhibin Zhao 002; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Ind. Informatics, 2020)

Composite-Graph-Based Sparse Subspace Clustering for Machine Fault Diagnosis. - Chuang Sun 001; Xuefeng Chen 002; Ruqiang Yan 001; Robert X. Gao (IEEE Trans. Instrum. Meas., 2020)

Sparse Multiperiod Group Lasso for Bearing Multifault Diagnosis. - Zhibin Zhao 002; Shibin Wang; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2020)

Machine Anomaly Detection under Changing Working Condition with Syncretic Self-Regression Auto-Encoder. - Jingyao Wu 001; Zhibin Zhao 002; Hongbing Shang; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (I2MTC, 2021)

Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction. - Tianfu Li; Zhibin Zhao 002; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (Reliab. Eng. Syst. Saf., 2021)

Learning from Class-imbalanced Data with a Model-Agnostic Framework for Machine Intelligent Diagnosis. - Jingyao Wu 001; Zhibin Zhao 002; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (Reliab. Eng. Syst. Saf., 2021)

Robust enhanced trend filtering with unknown noise. - Zhibin Zhao 002; Shibin Wang; David Wong 001; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (Signal Process., 2021)

Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis. - Tianfu Li; Zhibin Zhao 002; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Ind. Electron., 2021)

Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions. - Tianfu Li; Zhibin Zhao 002; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2021)

A U-Net-Based Approach for Tool Wear Area Detection and Identification. - Huihui Miao; Zhibin Zhao 002; Chuang Sun 001; Bing Li 023; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2021)

Conditional Adversarial Domain Adaptation With Discrimination Embedding for Locomotive Fault Diagnosis. - Xiaolei Yu; Zhibin Zhao 002; Xingwu Zhang; Chuang Sun 001; Baogui Gong; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2021)

Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis. - Qiyang Zhang; Zhibin Zhao 002; Xingwu Zhang; Yilong Liu; Chuang Sun 001; Ming Li 055; Shibin Wang; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2021)

Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study. - Zhibin Zhao 002; Qiyang Zhang; Xiaolei Yu; Chuang Sun 001; Shibin Wang; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2021)

Bayesian Differentiable Architecture Search for Efficient Domain Matching Fault Diagnosis. - Zheng Zhou; Tianfu Li; Zilong Zhang; Zhibin Zhao 002; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2021)

Superpixel Perception Graph Neural Network for Intelligent Defect Detection. - Hongbing Shang; Qixiu Yang; Chuang Sun 001; Xuefeng Chen 002; Ruqiang Yan 001 (CoRR, 2022)

Deep-Learning-Based Open Set Fault Diagnosis by Extreme Value Theory. - Xiaolei Yu; Zhibin Zhao 002; Xingwu Zhang; Qiyang Zhang; Yilong Liu; Chuang Sun 001; Xuefeng Chen 002 (IEEE Trans. Ind. Informatics, 2022)

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis. - Tianfu Li; Zhibin Zhao 002; Chuang Sun 001; Li Cheng; Xuefeng Chen 002; Ruqiang Yan 001; Robert X. Gao (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Defect-aware transformer network for intelligent visual surface defect detection. - Hongbing Shang; Chuang Sun 001; Jinxin Liu; Xuefeng Chen 002; Ruqiang Yan 001 (Adv. Eng. Informatics, 2023)

Aircraft flight regime recognition with deep temporal segmentation neural network. - Jingyao Wu 001; Chenye Hu; Chuang Sun 001; Xuefeng Chen 002; Ruqiang Yan 001 (Eng. Appl. Artif. Intell., 2023)

Interinstance and Intratemporal Self-Supervised Learning With Few Labeled Data for Fault Diagnosis. - Chenye Hu; Jingyao Wu 001; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Ind. Informatics, 2023)

Global Prior Transformer Network in Intelligent Borescope Inspection for Surface Damage Detection of Aeroengine Blade. - Hongbing Shang; Jingyao Wu 001; Chuang Sun 001; Jinxin Liu; Xuefeng Chen 002; Ruqiang Yan 001 (IEEE Trans. Ind. Informatics, 2023)

Industrial anomaly detection with domain shift: A real-world dataset and masked multi-scale reconstruction. - Zilong Zhang; Zhibin Zhao 002; Xingwu Zhang; Chuang Sun 001; Xuefeng Chen 002 (Comput. Ind., 2023)

Life-cycle modeling driven by coupling competition degradation for remaining useful life prediction. - Yasong Li; Zheng Zhou; Chuang Sun 001; Jun Peng 002; Asoke K. Nandi; Ruqiang Yan 001 (Reliab. Eng. Syst. Saf., 2023)

Intelligent temporal detection network for boundary-sensitive flight regime recognition. - Chenye Hu; Jingyao Wu 001; Chuang Sun 001; Xuefeng Chen 002; Ruqiang Yan 001 (Eng. Appl. Artif. Intell., 2023)

Graph attention U-Net to fuse multi-sensor signals for long-tailed distribution fault diagnosis. - Yuangui Yang; Tianfu Li; Chuang Sun 001; Liuyang Zhang; Ruqiang Yan 001 (Eng. Appl. Artif. Intell., 2023)

BP-SRM: A directly training algorithm for spiking neural network constructed by spike response model. - Jun Wang; Tianfu Li; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (Neurocomputing, 2023)

NorCLR: A Normality-Aggregated Contrastive Learning Framework for Mechanical Anomaly Detection. - Chenye Hu; Jiaxin Ren; Jingyao Wu 001; Hong Xu; Chuang Sun 001; Ruqiang Yan 001 (I2MTC, 2024)

Information-Imbalance Learning With Hazard-Sensitive Loss for Machine Fault Diagnosis. - Jingyao Wu 001; Hongbing Shang; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2024)

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis. - Tianfu Li; Chuang Sun 001; Olga Fink; Yuangui Yang; Xuefeng Chen 002; Ruqiang Yan 001 (IEEE Trans. Cybern., 2024)

Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis. - Yasong Li; Zheng Zhou; Chuang Sun 001; Xuefeng Chen 002; Ruqiang Yan 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Physics-Constraint Variational Neural Network for Wear State Assessment of External Gear Pump. - Wengang Xu; Zheng Zhou; Tianfu Li; Chuang Sun 001; Xuefeng Chen 002; Ruqiang Yan 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Explainable Graph Wavelet Denoising Network for Intelligent Fault Diagnosis. - Tianfu Li; Chuang Sun 001; Sinan Li; Zhiying Wang; Xuefeng Chen 002; Ruqiang Yan 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

WPConvNet: An Interpretable Wavelet Packet Kernel-Constrained Convolutional Network for Noise-Robust Fault Diagnosis. - Sinan Li; Tianfu Li; Chuang Sun 001; Xuefeng Chen 002; Ruqiang Yan 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Domain Invariant and Consistent Ordinal Representation Learning for Remaining Useful Life Prediction of Bearings. - Yasong Li; Zheng Zhou; Chuang Sun 001; Jun Peng 002; Xiaochuan Liu; Ruqiang Yan 001 (IEEE Trans. Ind. Informatics, 2024)

Within and Among Wavelet-subband Sparse Decomposition For Bearing Fault Diagnosis. - Haiwei Ren; Baoqing Ding; Lei Jin; Zhibin Zhao 002; Chuang Sun 001; Xingwu Zhang; Ruqiang Yan 001; Xuefeng Chen 002 (I2MTC, 2025)

Learning globally ordered and locally consistent degradation representations for remaining useful life prediction. - Yasong Li; Chenye Hu; Zheng Zhou; Chuang Sun 001; Jun Peng 002; Ruqiang Yan 001 (Adv. Eng. Informatics, 2025)

Sequence to sequence network with Bayesian attention and state transition for self-data-driven remaining useful life estimation. - Yasong Li; Zheng Zhou; Chenye Hu; Chuang Sun 001; Jun Peng 002; Ruqiang Yan 001 (Expert Syst. Appl., 2025)

Normality Aggregation and Abnormality Separation Contrastive Learning for Mechanical Anomaly Detection. - Chenye Hu; Jiaxin Ren; Hong Xu; Jingyao Wu 001; Chuang Sun 001; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2025)

An Incremental Learning Method With Feature-Attention Distillation and Logit Adjustment for Rotating Machinery Fault Diagnosis. - Yasong Li; Hong Xu; Yuangui Yang; Chenye Hu; Chuang Sun 001; Huimin Song; Laihao Yang (IEEE Trans. Instrum. Meas., 2025)

Unified Flowing Normality Learning for Rotating Machinery Anomaly Detection in Continuous Time-Varying Conditions. - Chenye Hu; Jingyao Wu 001; Chuang Sun 001; Xuefeng Chen 002; Asoke K. Nandi; Ruqiang Yan 001 (IEEE Trans. Cybern., 2025)

Brain-Inspired Meta-Learning for Few-Shot Bearing Fault Diagnosis. - Jun Wang; Chuang Sun 001; Asoke K. Nandi; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

A novel unsupervised graph wavelet autoencoder for mechanical system fault detection. - Tianfu Li; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (J. Intell. Manuf., 2025)

Enhancing aero-engine blade few-shot anomaly detection with visual-language multi-modal models under domain shift conditions. - Jiafeng Tang; Kunpeng Tan; Zhibin Zhao 002; Xingwu Zhang; Chuang Sun 001; Xuefeng Chen 002 (Adv. Eng. Informatics, 2026)