Two-class model based on nonlinear manifold learning for bearing health monitoring. - Xiaoxi Ding; Qingbo He (I2MTC, 2016)

Sparse Signal Reconstruction Based on Time-Frequency Manifold for Rolling Element Bearing Fault Signature Enhancement. - Qingbo He; Haiyue Song; Xiaoxi Ding (IEEE Trans. Instrum. Meas., 2016)

Energy-Fluctuated Multiscale Feature Learning With Deep ConvNet for Intelligent Spindle Bearing Fault Diagnosis. - Xiaoxi Ding; Qingbo He (IEEE Trans. Instrum. Meas., 2017)

Transient Signal Analysis Using Parallel Time-Frequency Manifold Filtering for Bearing Health Diagnosis. - Deqi Zhang; Xiaoxi Ding; Wenbin Huang 002; Qingbo He (IEEE Access, 2019)

Transient Feature Extraction Based on Time-Frequency Manifold Image Synthesis for Machinery Fault Diagnosis. - Xiaoxi Ding; Qingbo He; Yimin Shao; Wenbin Huang 002 (IEEE Trans. Instrum. Meas., 2019)

Gearbox Fault Diagnosis Using Multiscale Sparse Frequency-Frequency Distributions. - Luke Zhang; Yi Li; Lincheng Dong; Xiaoqing Yang; Xiaoxi Ding; Qiang Zeng; Liming Wang; Yimin Shao (IEEE Access, 2021)

Manifold Sensing-Based Convolution Sparse Self-Learning for Defective Bearing Morphological Feature Extraction. - Quanchang Li; Xiaoxi Ding; Qingbo He; Wenbin Huang 002; Yimin Shao (IEEE Trans. Ind. Informatics, 2021)

A Weight Multinet Architecture for Bearing Fault Classification Under Complex Speed Conditions. - Xiaoxi Ding; Lun Lin; Dong He; Liming Wang; Wen-bing Huang 001; Yimin Shao (IEEE Trans. Instrum. Meas., 2021)

An Efficient Incremental Learning of Bearing Fault Imbalanced Data Set via Filter StyleGAN. - Yinjun Wang; Liling Zeng; Liming Wang; Yimin Shao; Yongxiang Zhang 005; Xiaoxi Ding (IEEE Trans. Instrum. Meas., 2021)

Rotating Machinery Fault Identification via Adaptive Convolutional Neural Network. - Luke Zhang; Jia Liu; Shu Su; Tong Lu; Chunrong Xue; Yinjun Wang; Xiaoxi Ding; Yimin Shao (J. Sensors, 2022)

ConditionSenseNet: A Deep Interpolatory ConvNet for Bearing Intelligent Diagnosis Under Variational Working Conditions. - Yinjun Wang; Xiaoxi Ding; Rui Liu 036; Yimin Shao (IEEE Trans. Ind. Informatics, 2022)

Signal-Transformer: A Robust and Interpretable Method for Rotating Machinery Intelligent Fault Diagnosis Under Variable Operating Conditions. - Jian Tang; Guanhui Zheng; Chao Wei; Wenbing Huang 001; Xiaoxi Ding (IEEE Trans. Instrum. Meas., 2022)

Sinc-Based Multiplication-Convolution Network for Small-Sample Fault Diagnosis and Edge Application. - Rui Liu 036; Xiaoxi Ding; Shenglan Liu 003; Qihang Wu; Yimin Shao (IEEE Trans. Instrum. Meas., 2023)

An Efficient Sequential Embedding ConvNet for Rotating Machinery Intelligent Fault Diagnosis. - Jian Tang; Qihang Wu; Xiaobo Li; Chao Wei; Xiaoxi Ding; Wenbing Huang 001; Yimin Shao (IEEE Trans. Instrum. Meas., 2023)

An Interpretable Multiplication-Convolution Sparse Network for Equipment Intelligent Diagnosis in Antialiasing and Regularization Constraint. - Qihang Wu; Xiaoxi Ding; Linhua Zhao; Rui Liu 036; Qingbo He; Yimin Shao (IEEE Trans. Instrum. Meas., 2023)

Decision Self-Regulating Network for Imbalanced Working Conditions Identification in the Application of Gearbox Intelligent Fault Diagnosis. - Minmin Xu; Yaoyao Han; Xiaoxi Ding; Haidong Shao; Yimin Shao (IEEE Trans. Instrum. Meas., 2023)

A Novel Optimization Demodulation Method for Gear Fault Vibration Overmodulation Signal and Its Application to Fault Diagnosis. - Xiaoqing Yang; Guolin He; Kang Ding; Yuanzheng Li; Xiaoxi Ding; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2023)

Multiple local domains transfer network for equipment fault intelligent identification. - Yinjun Wang; Liang Ge; Chunrong Xue; Xiaobo Li; Xianghui Meng; Xiaoxi Ding (Eng. Appl. Artif. Intell., 2023)

A Dual-View Style Mixing Network for unsupervised cross-domain fault diagnosis with imbalanced data. - Zixu Chen; Wennian Yu; Liming Wang; Xiaoxi Ding; Wenbin Huang 002; Yimin Shao (Knowl. Based Syst., 2023)

A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery. - Bing Wang; Liming Wang; Bo Zou; Huifang Xiao; Xiaoxi Ding; Yimin Shao (Swarm Evol. Comput., 2023)

Lamb-Waves-Based Sparse Distributed Penetrating Communication via Phase-Position Modulation for Enclosed Metal Structures. - Yunfei Xu; Quanchang Li; Wanrong Lin; Qihang Wu; Wenbing Huang 001; Xiaoxi Ding (IEEE Trans. Ind. Informatics, 2023)

Prior-knowledge-guided mode filtering network for interpretable equipment intelligent diagnosis under varying speed conditions. - Rui Liu 036; Xiaoxi Ding; Yimin Shao (Adv. Eng. Informatics, 2024)

An interpretable multiplication-convolution residual network for equipment fault diagnosis via time-frequency filtering. - Rui Liu 036; Xiaoxi Ding; Yimin Shao; Wenbin Huang 002 (Adv. Eng. Informatics, 2024)

Single-domain incremental generation network for machinery intelligent fault diagnosis under unknown working speeds. - Yuanyue Pu; Jian Tang; Xuegang Li; Chao Wei; Wenbin Huang 002; Xiaoxi Ding (Adv. Eng. Informatics, 2024)

A reference learning network for fault diagnosis of rotating machinery under strong noise. - Yinjun Wang; Zhigang Zhang; Xiaoxi Ding; Yanbin Du; Jian Li; Peng Chen (Appl. Soft Comput., 2024)

Digital-analog driven multi-scale transfer for smart bearing fault diagnosis. - Wenbing Huang 001; Zixian Li; Xiaoxi Ding; Dong He; Qihang Wu; Jing Liu 046 (Eng. Appl. Artif. Intell., 2024)

Domain expansion fusion single-domain generalization framework for mechanical fault diagnosis under unknown working conditions. - Xuegang Li; Jian Tang; Yuanyue Pu; Changyuan Wang; Huajun Cao; Xiaoxi Ding; Wenbin Huang 002 (Eng. Appl. Artif. Intell., 2024)

A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples. - Jian Tang; Jiawei Xiao; Wentao Chen; Xuegang Li; Chao Wei; Xiaoxi Ding; Wenbing Huang 001 (Eng. Appl. Artif. Intell., 2024)

Digital twin-assisted dual transfer: A novel information-model adaptation method for rolling bearing fault diagnosis. - Zixian Li; Xiaoxi Ding; Zhenzhen Song; Liming Wang; Bo Qin; Wenbin Huang 002 (Inf. Fusion, 2024)

HmmSeNet: A Novel Single Domain Generalization Equipment Fault Diagnosis Under Unknown Working Speed Using Histogram Matching Mixup. - Jian Tang; Xiaoxi Ding; Chao Wei; Jiawei Xiao; Rui Liu 036; Liming Wang; Wenbin Huang 002 (IEEE Trans. Ind. Informatics, 2024)

An Interpretable Multiplication-Convolution Network for Equipment Intelligent Edge Diagnosis. - Rui Liu 036; Xiaoxi Ding; Qihang Wu; Qingbo He; Yimin Shao (IEEE Trans. Syst. Man Cybern. Syst., 2024)

IoT-Based Adaptive Multiplication-Convolution Sparse Denoising for Equipment Edge Condition Evaluation. - Qihang Wu; Xiaoxi Ding; Wenhao Cheng; Yuxuan Fan (IEEE Internet Things J., 2024)

An order sparse filtering network for interpretable smart gear edge diagnosis under varying speed conditions. - Qihang Wu; Xiaoxi Ding; Shuai Gao; Jun Luo; Wenbin Huang 002 (Adv. Eng. Informatics, 2025)

Knowledge-informed multiplication convolution generalization network for interpretable equipment diagnosis under unknown speed domains. - Rui Liu 036; Xiaoxi Ding; Benyuan Ye; Yuanyuan Xu; Jiahai Huang; Hongyu Lv (Appl. Soft Comput., 2025)

Physics-informed dual guidance method using physical envelope harmonic distribution and transfer learning for few-shot gear fault classification. - Kun Yue; Liming Wang; Xiaoxi Ding; Wennian Yu; Zaigang Chen; Wenbin Huang 002 (Eng. Appl. Artif. Intell., 2025)

Dual-drive RUL prediction of gear transmission systems based on dynamic model and unsupervised domain adaption under zero sample. - Yaoyao Han; Xiaoxi Ding; Fengshou Gu; Xiaohui Chen; Minmin Xu (Reliab. Eng. Syst. Saf., 2025)

Knowledge-informed FIR-based cross-category filtering framework for interpretable machinery fault diagnosis under small samples. - Rui Liu 036; Xiaoxi Ding; Shenglan Liu 003; Hebin Zheng; Yuanyaun Xu; Yimin Shao (Reliab. Eng. Syst. Saf., 2025)

Progressive Transfer Learning: An Intelligent Fault Diagnosis Method for Unlabeled Rotating Machinery With Small Samples. - Yinjun Wang; Zhigang Zhang; Chunrong Xue; Qi Zhu; Xiaobo Li; Liming Wang; Xiaoxi Ding (IEEE Trans. Instrum. Meas., 2025)