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Xiaoxi Ding
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2020 – today
- 2024
- [j27]Yuanyue Pu, Jian Tang, Xuegang Li, Chao Wei, Wenbin Huang, Xiaoxi Ding
:
Single-domain incremental generation network for machinery intelligent fault diagnosis under unknown working speeds. Adv. Eng. Informatics 60: 102400 (2024) - [j26]Rui Liu, Xiaoxi Ding
, Yimin Shao, Wenbin Huang:
An interpretable multiplication-convolution residual network for equipment fault diagnosis via time-frequency filtering. Adv. Eng. Informatics 60: 102421 (2024) - [j25]Rui Liu, Xiaoxi Ding
, Yimin Shao:
Prior-knowledge-guided mode filtering network for interpretable equipment intelligent diagnosis under varying speed conditions. Adv. Eng. Informatics 61: 102493 (2024) - [j24]Jian Tang, Jiawei Xiao, Wentao Chen, Xuegang Li, Chao Wei, Xiaoxi Ding
, Wenbing Huang:
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples. Eng. Appl. Artif. Intell. 133: 108503 (2024) - [j23]Zixian Li, Xiaoxi Ding
, Zhenzhen Song, Liming Wang, Bo Qin, Wenbin Huang:
Digital twin-assisted dual transfer: A novel information-model adaptation method for rolling bearing fault diagnosis. Inf. Fusion 106: 102271 (2024) - [j22]Jian Tang
, Xiaoxi Ding
, Chao Wei
, Jiawei Xiao
, Rui Liu, Liming Wang
, Wenbin Huang:
HmmSeNet: A Novel Single Domain Generalization Equipment Fault Diagnosis Under Unknown Working Speed Using Histogram Matching Mixup. IEEE Trans. Ind. Informatics 20(5): 7162-7172 (2024) - [j21]Rui Liu
, Xiaoxi Ding
, Qihang Wu
, Qingbo He
, Yimin Shao
:
An Interpretable Multiplication-Convolution Network for Equipment Intelligent Edge Diagnosis. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3284-3295 (2024) - 2023
- [j20]Yinjun Wang, Liang Ge, Chunrong Xue, Xiaobo Li, Xianghui Meng, Xiaoxi Ding
:
Multiple local domains transfer network for equipment fault intelligent identification. Eng. Appl. Artif. Intell. 120: 105791 (2023) - [j19]Zixu Chen
, Wennian Yu
, Liming Wang, Xiaoxi Ding, Wenbin Huang
, Yimin Shao:
A Dual-View Style Mixing Network for unsupervised cross-domain fault diagnosis with imbalanced data. Knowl. Based Syst. 278: 110918 (2023) - [j18]Bing Wang, Liming Wang
, Bo Zou, Huifang Xiao, Xiaoxi Ding, Yimin Shao:
A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery. Swarm Evol. Comput. 83: 101407 (2023) - [j17]Yunfei Xu
, Quanchang Li
, Wanrong Lin
, Qihang Wu
, Wenbing Huang, Xiaoxi Ding
:
Lamb-Waves-Based Sparse Distributed Penetrating Communication via Phase-Position Modulation for Enclosed Metal Structures. IEEE Trans. Ind. Informatics 19(12): 11418-11429 (2023) - [j16]Rui Liu
, Xiaoxi Ding
, Shenglan Liu
, Qihang Wu
, Yimin Shao
:
Sinc-Based Multiplication-Convolution Network for Small-Sample Fault Diagnosis and Edge Application. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j15]Jian Tang
, Qihang Wu
, Xiaobo Li
, Chao Wei
, Xiaoxi Ding
, Wenbing Huang, Yimin Shao
:
An Efficient Sequential Embedding ConvNet for Rotating Machinery Intelligent Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j14]Qihang Wu
, Xiaoxi Ding
, Linhua Zhao
, Rui Liu
, Qingbo He
, Yimin Shao
:
An Interpretable Multiplication-Convolution Sparse Network for Equipment Intelligent Diagnosis in Antialiasing and Regularization Constraint. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j13]Minmin Xu
, Yaoyao Han
, Xiaoxi Ding
, Haidong Shao
, Yimin Shao
:
Decision Self-Regulating Network for Imbalanced Working Conditions Identification in the Application of Gearbox Intelligent Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j12]Xiaoqing Yang
, Guolin He
, Kang Ding
, Yuanzheng Li
, Xiaoxi Ding
, Weihua Li
:
A Novel Optimization Demodulation Method for Gear Fault Vibration Overmodulation Signal and Its Application to Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - 2022
- [j11]Luke Zhang
, Jia Liu
, Shu Su
, Tong Lu
, Chunrong Xue
, Yinjun Wang
, Xiaoxi Ding
, Yimin Shao
:
Rotating Machinery Fault Identification via Adaptive Convolutional Neural Network. J. Sensors 2022: 1-11 (2022) - [j10]Yinjun Wang
, Xiaoxi Ding
, Rui Liu, Yimin Shao
:
ConditionSenseNet: A Deep Interpolatory ConvNet for Bearing Intelligent Diagnosis Under Variational Working Conditions. IEEE Trans. Ind. Informatics 18(10): 6558-6568 (2022) - [j9]Jian Tang
, Guanhui Zheng, Chao Wei
, Wenbing Huang, Xiaoxi Ding
:
Signal-Transformer: A Robust and Interpretable Method for Rotating Machinery Intelligent Fault Diagnosis Under Variable Operating Conditions. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - 2021
- [j8]Luke Zhang, Yi Li, Lincheng Dong, Xiaoqing Yang
, Xiaoxi Ding
, Qiang Zeng, Liming Wang
, Yimin Shao
:
Gearbox Fault Diagnosis Using Multiscale Sparse Frequency-Frequency Distributions. IEEE Access 9: 113089-113099 (2021) - [j7]Quanchang Li
, Xiaoxi Ding
, Qingbo He
, Wenbin Huang, Yimin Shao
:
Manifold Sensing-Based Convolution Sparse Self-Learning for Defective Bearing Morphological Feature Extraction. IEEE Trans. Ind. Informatics 17(5): 3069-3078 (2021) - [j6]Xiaoxi Ding
, Lun Lin
, Dong He
, Liming Wang
, Wen-bing Huang, Yimin Shao
:
A Weight Multinet Architecture for Bearing Fault Classification Under Complex Speed Conditions. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j5]Yinjun Wang
, Liling Zeng
, Liming Wang
, Yimin Shao
, Yongxiang Zhang
, Xiaoxi Ding:
An Efficient Incremental Learning of Bearing Fault Imbalanced Data Set via Filter StyleGAN. IEEE Trans. Instrum. Meas. 70: 1-10 (2021)
2010 – 2019
- 2019
- [j4]Deqi Zhang
, Xiaoxi Ding
, Wenbin Huang
, Qingbo He
:
Transient Signal Analysis Using Parallel Time-Frequency Manifold Filtering for Bearing Health Diagnosis. IEEE Access 7: 175277-175289 (2019) - [j3]Xiaoxi Ding, Qingbo He
, Yimin Shao, Wenbin Huang:
Transient Feature Extraction Based on Time-Frequency Manifold Image Synthesis for Machinery Fault Diagnosis. IEEE Trans. Instrum. Meas. 68(11): 4242-4252 (2019) - 2017
- [j2]Xiaoxi Ding, Qingbo He
:
Energy-Fluctuated Multiscale Feature Learning With Deep ConvNet for Intelligent Spindle Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 66(8): 1926-1935 (2017) - 2016
- [j1]Qingbo He
, Haiyue Song, Xiaoxi Ding:
Sparse Signal Reconstruction Based on Time-Frequency Manifold for Rolling Element Bearing Fault Signature Enhancement. IEEE Trans. Instrum. Meas. 65(2): 482-491 (2016) - [c1]Xiaoxi Ding, Qingbo He
:
Two-class model based on nonlinear manifold learning for bearing health monitoring. I2MTC 2016: 1-6
Coauthor Index
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last updated on 2024-08-05 21:18 CEST by the dblp team
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