An Adversarial Learning Framework for Zero-shot Fault Recognition of Mechanical Systems. - Jinglong Chen; Tongyang Pan; Zitong Zhou; Shuilong He (INDIN, 2019)

Degradation feature extraction using multi-source monitoring data via logarithmic normal distribution based variational auto-encoder. - Gen Ping; Jinglong Chen; Tongyang Pan; Jun Pan 003 (Comput. Ind., 2019)

A Novel Deep Learning Network via Multiscale Inner Product With Locally Connected Feature Extraction for Intelligent Fault Detection. - Tongyang Pan; Jinglong Chen; Zitong Zhou; Changlei Wang; Shuilong He (IEEE Trans. Ind. Informatics, 2019)

Sequence Adaptation Adversarial Network for Remaining Useful Life Prediction Using Small Data Set. - Haixin Lv; Jinglong Chen; Tongyang Pan (INDIN, 2020)

Towards Intelligent Fault Diagnosis under Small Sample Condition via A Signals Augmented Semi-supervised Learning Framework. - Tianci Zhang; Jinglong Chen; Tongyang Pan; Zitong Zhou (INDIN, 2020)

Hybrid attribute conditional adversarial denoising autoencoder for zero-shot classification of mechanical intelligent fault diagnosis. - Haixin Lv; Jinglong Chen; Tongyang Pan; Zitong Zhou (Appl. Soft Comput., 2020)

Multiple degradation mode analysis via gated recurrent unit mode recognizer and life predictors for complex equipment. - Qinyuan Luo; Yuanhong Chang; Jinglong Chen; Hongjie Jing; Haixin Lv; Tongyang Pan (Comput. Ind., 2020)

A Deep Learning Network via Shunt-Wound Restricted Boltzmann Machines Using Raw Data for Fault Detection. - Tongyang Pan; Jinglong Chen; Jun Pan 003; Zitong Zhou (IEEE Trans. Instrum. Meas., 2020)

A Small Sample Focused Intelligent Fault Diagnosis Scheme of Machines via Multimodules Learning With Gradient Penalized Generative Adversarial Networks. - Tianci Zhang; Jinglong Chen; Fudong Li 005; Tongyang Pan; Shuilong He (IEEE Trans. Ind. Electron., 2021)

Deep Feature Generating Network: A New Method for Intelligent Fault Detection of Mechanical Systems Under Class Imbalance. - Tongyang Pan; Jinglong Chen; Jingsong Xie; Zitong Zhou; Shuilong He (IEEE Trans. Ind. Informatics, 2021)

SASLN: Signals Augmented Self-Taught Learning Networks for Mechanical Fault Diagnosis Under Small Sample Condition. - Tianci Zhang; Jinglong Chen; Jingsong Xie; Tongyang Pan (IEEE Trans. Instrum. Meas., 2021)

Intelligent Fault Quantitative Identification for Industrial Internet of Things (IIoT) via a Novel Deep Dual Reinforcement Learning Model Accompanied With Insufficient Samples. - Yuanhong Chang; Jinglong Chen; Wenyang Wu; Tongyang Pan; Zitong Zhou; Shuilong He (IEEE Internet Things J., 2022)

Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects. - Yong Feng; Jinglong Chen; Jingsong Xie; Tianci Zhang; Haixin Lv; Tongyang Pan (Knowl. Based Syst., 2022)

A multi-head attention network with adaptive meta-transfer learning for RUL prediction of rocket engines. - Tongyang Pan; Jinglong Chen; Zhisheng Ye 001; Aimin Li (Reliab. Eng. Syst. Saf., 2022)

Similarity Metric-Based Metalearning Network Combining Prior Metatraining Strategy for Intelligent Fault Detection Under Small Samples Prerequisite. - Yuanhong Chang; Jinglong Chen; Shuilong He; Tongyang Pan (IEEE Trans. Instrum. Meas., 2022)

Toward Small Sample Challenge in Intelligent Fault Diagnosis: Attention-Weighted Multidepth Feature Fusion Net With Signals Augmentation. - Tianci Zhang; Shuilong He; Jinglong Chen; Tongyang Pan; Zitong Zhou (IEEE Trans. Instrum. Meas., 2022)

A variational transformer for predicting turbopump bearing condition under diverse degradation processes. - Yulang Liu; Jinglong Chen; Tiantian Wang 004; Aimin Li; Tongyang Pan (Reliab. Eng. Syst. Saf., 2023)

Globally Localized Multisource Domain Adaptation for Cross-Domain Fault Diagnosis With Category Shift. - Yong Feng; Jinglong Chen; Shuilong He; Tongyang Pan; Zitong Zhou (IEEE Trans. Neural Networks Learn. Syst., 2023)

Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects. - Shen Liu; Jinglong Chen; Yong Feng; Zongliang Xie; Tongyang Pan; Jingsong Xie (Expert Syst. Appl., 2024)

A meta-weighted network equipped with uncertainty estimations for remaining useful life prediction of turbopump bearings. - Tongyang Pan; Jinglong Chen; Zijun Liu (Expert Syst. Appl., 2024)

A Lightweight Dual-Compression Fault Diagnosis Framework for High-Speed Train Bogie Bearing. - Yuyan Li; Shangjun Wang; Jingsong Xie; Tiantian Wang 004; Jinsong Yang; Tongyang Pan; Buyao Yang (IEEE Trans. Instrum. Meas., 2024)

A Simulated-to-Real Transfer Fault Diagnosis Method Based on Prototype Clustering Subdomain Adversarial Adaptation Network for HST Bogie Bearing. - Jingsong Xie; Shangjun Wang; Yuyan Li; Tiantian Wang 004; Jinsong Yang; Tongyang Pan (IEEE Trans. Instrum. Meas., 2024)

Integrating Misidentification and OOD Detection for Reliable Fault Diagnosis of High-Speed Train Bogie. - Yong Feng; Jinglong Chen; Zongliang Xie; Jingsong Xie; Tongyang Pan; Chao Li; Qing Zhao 003 (IEEE Trans. Intell. Transp. Syst., 2024)

Time-frequency Embedded Self-supervised Contrastive Learning for Fault Diagnosis of High-Speed Train bearing under Limited Labeled Data. - Yuyan Li; Jingsong Xie; Yaozheng Zeng; Tongyang Pan; Tiantian Wang 004; Weicheng Li; Ran Bi; Xiaochi Chen (ICPHM, 2025)

A temporal cross-contrastive self-supervised learning framework for high-speed train bearing fault diagnosis: addressing limited labeling and speed variability. - Yuyan Li; Tiantian Wang 004; Jingsong Xie; Jinsong Yang; Tongyang Pan; Buzhao Niu; Xiang Yu (Eng. Appl. Artif. Intell., 2025)

Rethinking robustness: Robust adversarial distillation for practical black-box signal attack in intelligent fault diagnosis. - Yong Feng; Jinglong Chen; Tongyang Pan; Rong Su 001 (Expert Syst. Appl., 2025)

A long-short-term feature extraction network based on soft-parameter-sharing for high-speed train bogies multi-object fault diagnosis under long-tailed distribution. - Yijin Liu; Jinglong Chen; Tongyang Pan; Jingsong Xie (Expert Syst. Appl., 2025)

Uncertainty Estimation Pseudo-Label-Guided Source-Free Domain Adaptation for Cross-Domain Remaining Useful Life Prediction in IIoT. - Zhuohang Chen; Jinglong Chen; Tongyang Pan; Jingsong Xie (IEEE Internet Things J., 2025)

A Source Domain Adaptive Method for Transfer-Learning-Based Fault Diagnosis of Train Bogie Bearings at Higher Speeds. - Buyao Yang; Tiantian Wang 004; Jingsong Xie; Jinsong Yang; Tongyang Pan; Yu Wang 043 (IEEE Trans. Instrum. Meas., 2025)