Fault Diagnosis of Demountable Disk-Drum Aero-Engine Rotor Using Customized Multiwavelet Method. - Jinglong Chen; Yu Wang 043; Zhengjia He; Xiaodong Wang (Sensors, 2015)

Improved VMD for feature visualization to identify wheel set bearing fault of high speed locomotive. - Zipeng Li; Jinglong Chen; Yangyang Zi; Jun Pan 003; Yu Wang 043 (I2MTC, 2016)

Fault diagnosis from visualization perspective using stream statistics. - Ang Yang; Yu Wang 043; Yanyang Zi; Jinglong Chen; Jun Pan 003; Yunsheng Liu (I2MTC, 2016)

Multi-domain description method for bearing fault recognition in varying speed condition. - Zitong Zhou; Jinglong Chen; Yanyang Zi; Xunzhang Chen (IECON, 2016)

Quantitative Index and Abnormal Alarm Strategy Using Sensor-Dependent Vibration Data for Blade Crack Identification in Centrifugal Booster Fans. - Jinglong Chen; Hailiang Sun 002; Shuai Wang; Zhengjia He (Sensors, 2016)

Design and implementation of data communication module based on plugin mode in configuration software. - Rui Zhang; Jinglong Chen; Xianjun Chen; Yongsong Zhan (ICAIT, 2017)

Hyper-parameter optimization based nonlinear multistate deterioration modeling for deterioration level assessment and remaining useful life prognostics. - Gaige Chen; Jinglong Chen; Yanyang Zi; Huihui Miao (Reliab. Eng. Syst. Saf., 2017)

LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification. - Jun Pan 003; Yanyang Zi; Jinglong Chen; Zitong Zhou; Biao Wang (IEEE Trans. Ind. Electron., 2018)

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)

Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process. - Jinglong Chen; Hongjie Jing; Yuanhong Chang; Qian Liu (Reliab. Eng. Syst. Saf., 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)

Drawing Order Recovery from Trajectory Components. - Minghao Yang; Xukang Zhou; Yangchang Sun; Jinglong Chen; Baohua Qiang (ICASSP, 2021)

Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification. - Yong Feng; Jinglong Chen; Zhuozheng Yang; Xiaogang Song; Yuanhong Chang; Shuilong He; Enyong Xu; Zitong Zhou (Knowl. Based Syst., 2021)

Intelligent fault diagnosis under small sample size conditions via Bidirectional InfoMax GAN with unsupervised representation learning. - Shen Liu; Jinglong Chen; Shuilong He; Enyong Xu; Haixin Lv; Zitong Zhou (Knowl. Based Syst., 2021)

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)

Layer Regeneration Network With Parameter Transfer and Knowledge Distillation for Intelligent Fault Diagnosis of Bearing Using Class Unbalanced Sample. - Fudong Li 002; Jinglong Chen; Shuilong He; Zitong Zhou (IEEE Trans. Instrum. Meas., 2021)

A Supervised Framework for Recognition of Liquid Rocket Engine Health State Under Steady-State Process Without Fault Samples. - Haixin Lv; Jinglong Chen; Jun Wang 103; Junshe Yuan; Zijun Liu (IEEE Trans. Instrum. Meas., 2021)

A Novel Multitask Adversarial Network via Redundant Lifting for Multicomponent Intelligent Fault Detection Under Sharp Speed Variation. - Zhen Shi; Jinglong Chen; Yanyang Zi; Zitong Zhou (IEEE Trans. Instrum. Meas., 2021)

QSCGAN: An Un-Supervised Quick Self-Attention Convolutional GAN for LRE Bearing Fault Diagnosis Under Limited Label-Lacked Data. - Wenqing Wan; Shuilong He; Jinglong Chen; Aimin Li; Yong Feng (IEEE Trans. Instrum. Meas., 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)

Prototype augmented network with metric-mixed under limited samples for mechanical intelligent fault recognition. - Rujie Hou; Jinglong Chen; Shuilong He; Fudong Li 002; Zitong Zhou (Appl. Soft Comput., 2022)

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)

Full Graph Autoencoder for One-Class Group Anomaly Detection of IIoT System. - Yong Feng; Jinglong Chen; Zijun Liu; Haixin Lv; Jun Wang 103 (IEEE Internet Things J., 2022)

Make the Rocket Intelligent at IoT Edge: Stepwise GAN for Anomaly Detection of LRE With Multisource Fusion. - Yong Feng; Zijun Liu; Jinglong Chen; Haixin Lv; Jun Wang 103; Junshe Yuan (IEEE Internet Things J., 2022)

CFs-focused intelligent diagnosis scheme via alternative kernels networks with soft squeeze-and-excitation attention for fast-precise fault detection under slow & sharp speed variations. - Yuanhong Chang; Jinglong Chen; Qiang Chen; Shen Liu; Zitong Zhou (Knowl. Based Syst., 2022)

Temporal convolution-based sorting feature repeat-explore network combining with multi-band information for remaining useful life estimation of equipment. - Yuanhong Chang; Jinglong Chen; Yulang Liu; Enyong Xu; Shuilong He (Knowl. Based Syst., 2022)

Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects. - Zhuohang Chen; Jinglong Chen; Yong Feng; Shen Liu; Tianci Zhang; Kaiyu Zhang; Wenrong Xiao (Knowl. Based Syst., 2022)

Multi-expert Attention Network with Unsupervised Aggregation for long-tailed fault diagnosis under speed variation. - Zhuohang Chen; Jinglong Chen; Zongliang Xie; Enyong Xu; Yong Feng; Shen Liu (Knowl. Based Syst., 2022)

High-temperature augmented neighborhood metric learning for cross-domain fault diagnosis with imbalanced data. - Yaqi Duan; Jinglong Chen; Tianci Zhang; Shuilong He; Yong Feng; Jingsong Xie; Wenrong Xiao (Knowl. Based Syst., 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)

Cross-domain intelligent bearing fault diagnosis under class imbalanced samples via transfer residual network augmented with explicit weight self-assignment strategy based on meta data. - Xuan Liu; Jinglong Chen; Kaiyu Zhang; Shen Liu; Shuilong He; Zitong Zhou (Knowl. Based Syst., 2022)

A multi-module generative adversarial network augmented with adaptive decoupling strategy for intelligent fault diagnosis of machines with small sample. - Kaiyu Zhang; Qiang Chen; Jinglong Chen; Shuilong He; Fudong Li 002; Zitong Zhou (Knowl. Based Syst., 2022)

Efficient temporal flow Transformer accompanied with multi-head probsparse self-attention mechanism for remaining useful life prognostics. - Yuanhong Chang; Fudong Li 005; Jinglong Chen; Yulang Liu; Zipeng Li (Reliab. Eng. Syst. Saf., 2022)

A soft-target difference scaling network via relational knowledge distillation for fault detection of liquid rocket engine under multi-source trouble-free samples. - Fudong Li 005; Jinglong Chen; Zijun Liu; Haixin Lv; Jun Wang 103; Junshe Yuan; Wenrong Xiao (Reliab. Eng. Syst. Saf., 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)

Prior Knowledge-Augmented Self-Supervised Feature Learning for Few-Shot Intelligent Fault Diagnosis of Machines. - Tianci Zhang; Jinglong Chen; Shuilong He; Zitong Zhou (IEEE Trans. Ind. Electron., 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)

A Novel Multisensor Orthogonal Attention Fusion Network for Multibolt Looseness State Recognition Under Small Sample. - Feng Liu; Zhousuo Zhang; Xu Chen; Yong Feng; Jinglong Chen (IEEE Trans. Instrum. Meas., 2022)

A Dual-Guided Adaptive Decomposition Method of Fault Information and Fault Sensitivity for Multi-Component Fault Diagnosis Under Varying Speeds. - Zhen Shi; Shuilong He; Jinglong Chen; Yanyang Zi (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)

An Empirical Knowledge Representation Model Based on Similarity Measures of Multi-compression-Layers for Lre Operational State Identification. - Fudong Li 005; Zijun Liu; Jinglong Chen (ISSSR, 2023)

A Stable Lifting Convolutional Autoencoder for Anomaly Detection of Turbopump Bearings of Liquid Rocket Engine. - Zhen Shi; Yanyang Zi; Jinglong Chen; Mingquan Zhang (ISSSR, 2023)

One-stage self-supervised momentum contrastive learning network for open-set cross-domain fault diagnosis. - Weicheng Wang; Chao Li; Aimin Li; Fudong Li 005; Jinglong Chen; Tianci Zhang (Knowl. Based Syst., 2023)

Intelligent Fault Quantitative Identification via the Improved Deep Deterministic Policy Gradient (DDPG) Algorithm Accompanied With Imbalanced Sample. - Qianwen Cui; Liangyu Zhu; Huanqin Feng; Shuilong He; Jinglong Chen (IEEE Trans. Instrum. Meas., 2023)

A Position-Free Signal Transformer via Multiband Inner Relationship Extraction for Understanding Information Flow of Machinery Diagnosis. - Haixin Lv; Jinglong Chen; Shuilong He; Zitong Zhou (IEEE Trans. Instrum. Meas., 2023)

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)

An asymmetrical graph Siamese network for one-classanomaly detection of engine equipment with multi-source fusion. - Weicheng Wang; Jinglong Chen; Tianci Zhang; Zijun Liu; Jun Wang 103; Xinwei Zhang; Shuilong He (Reliab. Eng. Syst. Saf., 2023)

ABC: Aligning binary centers for single-stage monocular 3D object detection. - Yong Feng; Jinglong Chen; Shuilong He; Enyong Xu (Image Vis. Comput., 2023)

A graph embedded in graph framework with dual-sequence input for efficient anomaly detection of complex equipment under insufficient samples. - Haodong Yan; Fudong Li 005; Jinglong Chen; Zijun Liu; Jun Wang 103; Yong Feng; Xinwei Zhang (Reliab. Eng. Syst. Saf., 2023)

Domain Discrepancy-Guided Contrastive Feature Learning for Few-Shot Industrial Fault Diagnosis Under Variable Working Conditions. - Tianci Zhang; Jinglong Chen; Shen Liu; Zheng Liu 002 (IEEE Trans. Ind. Informatics, 2023)

Unsupervised Multimodal Anomaly Detection With Missing Sources for Liquid Rocket Engine. - Yong Feng; Zijun Liu; Jinglong Chen; Haixin Lv; Jun Wang 103; Xinwei Zhang (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 synchronization-induced cross-modal contrastive learning strategy for fault diagnosis of electromechanical systems under semi-supervised learning with current signal. - Qinyuan Luo; Jinglong Chen; Yanyang Zi; 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)

Enhancing equipment safeguarding in IIoT: A self-supervised fault diagnosis paradigm based on asymmetric graph autoencoder. - Zhuohang Chen; Shen Liu; Chao Li; Yuanhong Chang; Jinglong Chen; Gaoshan Feng; Shuilong He (Knowl. Based Syst., 2024)

Knowledge distillation-optimized two-stage anomaly detection for liquid rocket engine with missing multimodal data. - Xinwei Zhang; Yong Feng; Jinglong Chen; Zijun Liu; Jun Wang 103; Hong Huang (Reliab. Eng. Syst. Saf., 2024)

Graph-Based Model Compression for HSR Bogies Fault Diagnosis at IoT Edge via Adversarial Knowledge Distillation. - Wenqing Wan; Jinglong Chen; Jingsong Xie (IEEE Trans. Intell. Transp. Syst., 2024)

An unsupervised spatiotemporal fusion network augmented with random mask and time-relative information modulation for anomaly detection of machines with multiple measuring points. - Kaiyu Zhang; Jinglong Chen; Chi-Guhn Lee; Shuilong He (Expert Syst. Appl., 2024)

Self-Supervised Simple Siamese Framework for Fault Diagnosis of Rotating Machinery With Unlabeled Samples. - Wenqing Wan; Jinglong Chen; Zitong Zhou; Zhen Shi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Two-Phase Dual-Adversarial Agents With Multivariate Information for Unsupervised Anomaly Detection of IIoT-Edge Devices. - Yuanhong Chang; Jinglong Chen; Rong Su 001; Jingsong Xie; Aimin Li (IEEE Internet Things J., 2024)

DecouplingNet: A Stable Knowledge Distillation Decoupling Net for Fault Detection of Rotating Machines Under Varying Speeds. - Zhen Shi; Jinglong Chen; Yanyang Zi; Zhenyi Chen (IEEE Trans. Neural Networks Learn. Syst., 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)

Health prediction under limited degradation data for rocket engine bearings via conditional inference knowledge-enrichment approach. - Yulang Liu; Jinglong Chen; Weijun Xu (Adv. Eng. Informatics, 2025)

ELA-YOLO: An efficient method with linear attention for steel surface defect detection during manufacturing. - Ruichen Ma; Jinglong Chen; Yong Feng; Zitong Zhou; Jingsong Xie (Adv. Eng. Informatics, 2025)

A distributed training method with intergenerational accumulation and cross-node random drop for mechanical fault diagnosis. - Zongliang Xie; Kaiyu Zhang; Jinglong Chen; Chi-Guhn Lee; Shuilong He (Appl. Soft Comput., 2025)

Domain anchor-guided cluster matching for intelligent fault diagnosis under distribution discrepancy and category shift. - Jinglong Chen; Yaqi Duan; Zhuohang Chen; Jingsong Xie; Zitong Zhou (Expert Syst. Appl., 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)

Prior knowledge-informed multi-task dynamic learning for few-shot machinery fault diagnosis. - Tianci Zhang; Jinglong Chen; Zhisheng Ye 001; Wenting Liu; Jinyuan Tang (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 two-stage graph spatiotemporal model with domain-class alignment for fault diagnosis under multi-source long-tailed distributions. - Qianwen Cui; Shuilong He; Jinglong Chen; Chao Li; Chaofan Hu (Knowl. Based Syst., 2025)

Representations aligned counterfactual domain learning for open-set fault diagnosis under speed transient conditions. - Shen Liu; Jinglong Chen; Zhen Shi; Liuyang Song; Shuilong He (Knowl. Based Syst., 2025)

TFD-former: Time-frequency domain fusion decoders for effective and robust fault diagnosis under time-varying speeds. - Ruichen Ma; Jinglong Chen; Yong Feng; Zitong Zhou; Jingsong Xie (Knowl. Based Syst., 2025)

Mutual-learning based self-supervised knowledge distillation framework for remaining useful life prediction under variable working condition-induced domain shift scenarios. - Zhuohang Chen; Jinglong Chen; Zijun Liu; Yulang Liu (Reliab. Eng. Syst. Saf., 2025)

Graph embedded patch-sense autoencoder with prior knowledge for multi-component system anomaly detection. - Shen Liu; Jinglong Chen; Zijun Liu; Jun Wang 103; Z. Jane Wang 001 (Reliab. Eng. Syst. Saf., 2025)

Pseudo-label assisted contrastive learning model for unsupervised open-set domain adaptation in fault diagnosis. - Weicheng Wang; Chao Li; Zhipeng Zhang; Jinglong Chen; Shuilong He; Yong Feng (Reliab. Eng. Syst. Saf., 2025)

Generating HSR Bogie Vibration Signals via Pulse Voltage-Guided Conditional Diffusion Model. - Xuan Liu; Jinglong Chen; Jingsong Xie; Yuanhong Chang (IEEE Trans. Intell. Transp. Syst., 2025)

Dual-Control Inference Diffusion Model via Multi-Sensor High-Frequency Signal for Space Transportation Engine Anomaly Detection. - Haixin Lv; Jinglong Chen; Jun Wang 103; Zijun Liu (IEEE Trans. Intell. Transp. Syst., 2025)

An Efficient Authentication Scheme With Key Leakage-Resistance. - Yao Hu; Jinglong Chen; Bibo Tu (IEEE Trans. Ind. Informatics, 2025)

Measuring policy diffusion intensity: A text-driven analysis of government documents. - Jinglong Chen; Junyi Wen; Yufeng Deng; Mingwen Chen; Feicheng Ma (Inf. Process. Manag., 2026)