Xiaoxi Ding

According to our database, Xiaoxi Ding authored at least 34 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Knowledge-informed FIR-based cross-category filtering framework for interpretable machinery fault diagnosis under small samples.

Rui Liu, Xiaoxi Ding, Shenglan Liu, Hebin Zheng, Yuanyaun Xu, Yimin Shao

Reliab. Eng. Syst. Saf., 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

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., September, 2024

An Interpretable Multiplication-Convolution Network for Equipment Intelligent Edge Diagnosis.

Rui Liu, Xiaoxi Ding, Qihang Wu, Qingbo He, Yimin Shao

IEEE Trans. Syst. Man Cybern. Syst., June, 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, Liming Wang, Wenbin Huang

IEEE Trans. Ind. Informatics, May, 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

Inf. Fusion, 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

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

Eng. Appl. Artif. Intell., 2024

Digital-analog driven multi-scale transfer for smart bearing fault diagnosis.

Wenbing Huang, Zixian Li, Xiaoxi Ding, Dong He, Qihang Wu, Jing Liu

Eng. Appl. Artif. Intell., 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

Single-domain incremental generation network for machinery intelligent fault diagnosis under unknown working speeds.

Yuanyue Pu, Jian Tang, Xuegang Li, Chao Wei, Wenbin Huang, Xiaoxi Ding

Adv. Eng. Informatics, 2024

An interpretable multiplication-convolution residual network for equipment fault diagnosis via time-frequency filtering.

Rui Liu, Xiaoxi Ding, Yimin Shao, Wenbin Huang

Adv. Eng. Informatics, 2024

Prior-knowledge-guided mode filtering network for interpretable equipment intelligent diagnosis under varying speed conditions.

Rui Liu, Xiaoxi Ding, Yimin Shao

Adv. Eng. Informatics, 2024

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, Xiaoxi Ding

IEEE Trans. Ind. Informatics, December, 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., December, 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, Yimin Shao

Knowl. Based Syst., October, 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., April, 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

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

An Interpretable Multiplication-Convolution Sparse Network for Equipment Intelligent Diagnosis in Antialiasing and Regularization Constraint.

Qihang Wu, Xiaoxi Ding, Linhua Zhao, Rui Liu, Qingbo He, 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, Yimin Shao

IEEE Trans. Instrum. Meas., 2023

Sinc-Based Multiplication-Convolution Network for Small-Sample Fault Diagnosis and Edge Application.

Rui Liu, Xiaoxi Ding, Shenglan Liu, Qihang Wu, Yimin Shao

IEEE Trans. Instrum. Meas., 2023

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, Xiaoxi Ding

IEEE Trans. Instrum. Meas., 2022

ConditionSenseNet: A Deep Interpolatory ConvNet for Bearing Intelligent Diagnosis Under Variational Working Conditions.

Yinjun Wang, Xiaoxi Ding, Rui Liu, Yimin Shao

IEEE Trans. Ind. Informatics, 2022

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

2021

An Efficient Incremental Learning of Bearing Fault Imbalanced Data Set via Filter StyleGAN.

Yinjun Wang, Liling Zeng, Liming Wang, Yimin Shao, Yongxiang Zhang, Xiaoxi Ding

IEEE Trans. Instrum. Meas., 2021

A Weight Multinet Architecture for Bearing Fault Classification Under Complex Speed Conditions.

Xiaoxi Ding, Lun Lin, Dong He, Liming Wang, Wen-bing Huang, Yimin Shao

IEEE Trans. Instrum. Meas., 2021

Manifold Sensing-Based Convolution Sparse Self-Learning for Defective Bearing Morphological Feature Extraction.

Quanchang Li, Xiaoxi Ding, Qingbo He, Wenbin Huang, Yimin Shao

IEEE Trans. Ind. Informatics, 2021

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

2019

Transient Feature Extraction Based on Time-Frequency Manifold Image Synthesis for Machinery Fault Diagnosis.

Xiaoxi Ding, Qingbo He, Yimin Shao, Wenbin Huang

IEEE Trans. Instrum. Meas., 2019

Transient Signal Analysis Using Parallel Time-Frequency Manifold Filtering for Bearing Health Diagnosis.

Deqi Zhang, Xiaoxi Ding, Wenbin Huang, Qingbo He

IEEE Access, 2019

2017

Energy-Fluctuated Multiscale Feature Learning With Deep ConvNet for Intelligent Spindle Bearing Fault Diagnosis.

Xiaoxi Ding, Qingbo He

IEEE Trans. Instrum. Meas., 2017

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

Two-class model based on nonlinear manifold learning for bearing health monitoring.

Xiaoxi Ding, Qingbo He

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016