Xiaoxi Ding

44 papers Journal 43Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A novel rotating machinery fault diagnosis method based on multi-channel correlation strategy image information enhancement.
Eng. Appl. Artif. Intell.
Jiayao Hu, Wennian Yu, Zixu Chen, Quanyi Luo, Qiang Zeng, Xiaoxi Ding
2026 J jnl
FedCMCN: an edge-cloud collaboration federated learning method for smart bearing diagnosis under non-IID condition.
Expert Syst. Appl.
Qihang Wu, Jianbiao Shen, Xinwu Zhou, Wenhao Chen, Xiaoxi Ding
2026 J jnl
Information scene-augmented mapping for smart bearing whole life cycle digital twin.
J. Ind. Inf. Integr.
Zixian Li, Hebin Zheng, Shenlan Liu, Wenbin Huang, Xiaoxi Ding, Xiaohui Chen
2025 J jnl
A collaborative decision framework for dynamic control of gear remaining useful life using multi-source information in active health management.
Neurocomputing
Xuegang Li, Yuanyue Pu, Nian Wu, Huajun Cao, Xiaoxi Ding, Wenbin Huang
2025 J jnl
A quantized subtraction-convolution network for industrial lightweight edge interpretable diagnosis.
Eng. Appl. Artif. Intell.
Qihang Wu, Jun Luo, Wenbin Huang, Xiaoxi Ding
2025 J jnl
An order sparse filtering network for interpretable smart gear edge diagnosis under varying speed conditions.
Adv. Eng. Informatics
Qihang Wu, Xiaoxi Ding, Shuai Gao, Jun Luo, Wenbin Huang
2025 J jnl
Dual-drive RUL prediction of gear transmission systems based on dynamic model and unsupervised domain adaption under zero sample.
Reliab. Eng. Syst. Saf.
Yaoyao Han, Xiaoxi Ding, Fengshou Gu, Xiaohui Chen, Minmin Xu
2025 J jnl
Knowledge-informed FIR-based cross-category filtering framework for interpretable machinery fault diagnosis under small samples.
Reliab. Eng. Syst. Saf.
Rui Liu, Xiaoxi Ding, Shenglan Liu, Hebin Zheng, Yuanyaun Xu, Yimin Shao
2025 J jnl
Knowledge-informed multiplication convolution generalization network for interpretable equipment diagnosis under unknown speed domains.
Appl. Soft Comput.
Rui Liu, Xiaoxi Ding, Benyuan Ye, Yuanyuan Xu, Jiahai Huang, Hongyu Lv
2025 J jnl
Maximum Synchronous Average Margin Deconvolution for Bearing Incipient Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Rui Liu, Shenglan Liu, Chaokai Cui, Xiaoxi Ding, Yimin Shao, Min Xia
2025 J jnl
Physics-informed dual guidance method using physical envelope harmonic distribution and transfer learning for few-shot gear fault classification.
Eng. Appl. Artif. Intell.
Kun Yue, Liming Wang, Xiaoxi Ding, Wennian Yu, Zaigang Chen, Wenbin Huang
2025 J jnl
Progressive Transfer Learning: An Intelligent Fault Diagnosis Method for Unlabeled Rotating Machinery With Small Samples.
IEEE Trans. Instrum. Meas.
Yinjun Wang, Zhigang Zhang, Chunrong Xue, Qi Zhu, Xiaobo Li, Liming Wang, Xiaoxi Ding
2024 J jnl
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples.
Eng. Appl. Artif. Intell.
Jian Tang, Jiawei Xiao, Wentao Chen, Xuegang Li, Chao Wei, Xiaoxi Ding, Wenbing Huang
2024 J jnl
A reference learning network for fault diagnosis of rotating machinery under strong noise.
Appl. Soft Comput.
Yinjun Wang, Zhigang Zhang, Xiaoxi Ding, Yanbin Du, Jian Li, Peng Chen
2024 J jnl
An Interpretable Multiplication-Convolution Network for Equipment Intelligent Edge Diagnosis.
IEEE Trans. Syst. Man Cybern. Syst.
Rui Liu, Xiaoxi Ding, Qihang Wu, Qingbo He, Yimin Shao
2024 J jnl
An interpretable multiplication-convolution residual network for equipment fault diagnosis via time-frequency filtering.
Adv. Eng. Informatics
Rui Liu, Xiaoxi Ding, Yimin Shao, Wenbin Huang
2024 J jnl
Digital twin-assisted dual transfer: A novel information-model adaptation method for rolling bearing fault diagnosis.
Inf. Fusion
Zixian Li, Xiaoxi Ding, Zhenzhen Song, Liming Wang, Bo Qin, Wenbin Huang
2024 J jnl
Digital-analog driven multi-scale transfer for smart bearing fault diagnosis.
Eng. Appl. Artif. Intell.
Wenbing Huang, Zixian Li, Xiaoxi Ding, Dong He, Qihang Wu, Jing Liu
2024 J jnl
Domain expansion fusion single-domain generalization framework for mechanical fault diagnosis under unknown working conditions.
Eng. Appl. Artif. Intell.
Xuegang Li, Jian Tang, Yuanyue Pu, Changyuan Wang, Huajun Cao, Xiaoxi Ding, Wenbin Huang
2024 J jnl
HmmSeNet: A Novel Single Domain Generalization Equipment Fault Diagnosis Under Unknown Working Speed Using Histogram Matching Mixup.
IEEE Trans. Ind. Informatics
Jian Tang, Xiaoxi Ding, Chao Wei, Jiawei Xiao, Rui Liu, Liming Wang, Wenbin Huang
2024 J jnl
IoT-Based Adaptive Multiplication-Convolution Sparse Denoising for Equipment Edge Condition Evaluation.
IEEE Internet Things J.
Qihang Wu, Xiaoxi Ding, Wenhao Cheng, Yuxuan Fan
2024 J jnl
Prior-knowledge-guided mode filtering network for interpretable equipment intelligent diagnosis under varying speed conditions.
Adv. Eng. Informatics
Rui Liu, Xiaoxi Ding, Yimin Shao
2024 J jnl
Single-domain incremental generation network for machinery intelligent fault diagnosis under unknown working speeds.
Adv. Eng. Informatics
Yuanyue Pu, Jian Tang, Xuegang Li, Chao Wei, Wenbin Huang, Xiaoxi Ding
2023 J jnl
A Dual-View Style Mixing Network for unsupervised cross-domain fault diagnosis with imbalanced data.
Knowl. Based Syst.
Zixu Chen, Wennian Yu, Liming Wang, Xiaoxi Ding, Wenbin Huang, Yimin Shao
2023 J jnl
A Novel Optimization Demodulation Method for Gear Fault Vibration Overmodulation Signal and Its Application to Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Xiaoqing Yang, Guolin He, Kang Ding, Yuanzheng Li, Xiaoxi Ding, Weihua Li
2023 J jnl
A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery.
Swarm Evol. Comput.
Bing Wang, Liming Wang, Bo Zou, Huifang Xiao, Xiaoxi Ding, Yimin Shao
2023 J jnl
An Efficient Sequential Embedding ConvNet for Rotating Machinery Intelligent Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Jian Tang, Qihang Wu, Xiaobo Li, Chao Wei, Xiaoxi Ding, Wenbing Huang, Yimin Shao
2023 J jnl
An Interpretable Multiplication-Convolution Sparse Network for Equipment Intelligent Diagnosis in Antialiasing and Regularization Constraint.
IEEE Trans. Instrum. Meas.
Qihang Wu, Xiaoxi Ding, Linhua Zhao, Rui Liu, Qingbo He, Yimin Shao
2023 J jnl
Decision Self-Regulating Network for Imbalanced Working Conditions Identification in the Application of Gearbox Intelligent Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Minmin Xu, Yaoyao Han, Xiaoxi Ding, Haidong Shao, Yimin Shao
2023 J jnl
Lamb-Waves-Based Sparse Distributed Penetrating Communication via Phase-Position Modulation for Enclosed Metal Structures.
IEEE Trans. Ind. Informatics
Yunfei Xu, Quanchang Li, Wanrong Lin, Qihang Wu, Wenbing Huang, Xiaoxi Ding
2023 J jnl
Multiple local domains transfer network for equipment fault intelligent identification.
Eng. Appl. Artif. Intell.
Yinjun Wang, Liang Ge, Chunrong Xue, Xiaobo Li, Xianghui Meng, Xiaoxi Ding
2023 J jnl
Sinc-Based Multiplication-Convolution Network for Small-Sample Fault Diagnosis and Edge Application.
IEEE Trans. Instrum. Meas.
Rui Liu, Xiaoxi Ding, Shenglan Liu, Qihang Wu, Yimin Shao
2022 J jnl
ConditionSenseNet: A Deep Interpolatory ConvNet for Bearing Intelligent Diagnosis Under Variational Working Conditions.
IEEE Trans. Ind. Informatics
Yinjun Wang, Xiaoxi Ding, Rui Liu, Yimin Shao
2022 J jnl
Rotating Machinery Fault Identification via Adaptive Convolutional Neural Network.
J. Sensors
Luke Zhang, Jia Liu, Shu Su, Tong Lu, Chunrong Xue, Yinjun Wang, Xiaoxi Ding, Yimin Shao
2022 J jnl
Signal-Transformer: A Robust and Interpretable Method for Rotating Machinery Intelligent Fault Diagnosis Under Variable Operating Conditions.
IEEE Trans. Instrum. Meas.
Jian Tang, Guanhui Zheng, Chao Wei, Wenbing Huang, Xiaoxi Ding
2021 J jnl
A Weight Multinet Architecture for Bearing Fault Classification Under Complex Speed Conditions.
IEEE Trans. Instrum. Meas.
Xiaoxi Ding, Lun Lin, Dong He, Liming Wang, Wen-bing Huang, Yimin Shao
2021 J jnl
An Efficient Incremental Learning of Bearing Fault Imbalanced Data Set via Filter StyleGAN.
IEEE Trans. Instrum. Meas.
Yinjun Wang, Liling Zeng, Liming Wang, Yimin Shao, Yongxiang Zhang, Xiaoxi Ding
2021 J jnl
Gearbox Fault Diagnosis Using Multiscale Sparse Frequency-Frequency Distributions.
IEEE Access
Luke Zhang, Yi Li, Lincheng Dong, Xiaoqing Yang, Xiaoxi Ding, Qiang Zeng, Liming Wang, Yimin Shao
2021 J jnl
Manifold Sensing-Based Convolution Sparse Self-Learning for Defective Bearing Morphological Feature Extraction.
IEEE Trans. Ind. Informatics
Quanchang Li, Xiaoxi Ding, Qingbo He, Wenbin Huang, Yimin Shao
2019 J jnl
Transient Feature Extraction Based on Time-Frequency Manifold Image Synthesis for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Xiaoxi Ding, Qingbo He, Yimin Shao, Wenbin Huang
2019 J jnl
Transient Signal Analysis Using Parallel Time-Frequency Manifold Filtering for Bearing Health Diagnosis.
IEEE Access
Deqi Zhang, Xiaoxi Ding, Wenbin Huang, Qingbo He
2017 J jnl
Energy-Fluctuated Multiscale Feature Learning With Deep ConvNet for Intelligent Spindle Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Xiaoxi Ding, Qingbo He
2016 J jnl
Sparse Signal Reconstruction Based on Time-Frequency Manifold for Rolling Element Bearing Fault Signature Enhancement.
IEEE Trans. Instrum. Meas.
Qingbo He, Haiyue Song, Xiaoxi Ding
2016 — conf
Two-class model based on nonlinear manifold learning for bearing health monitoring.
I2MTC
Xiaoxi Ding, Qingbo He