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Xiaoxi Ding
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2020 – today
- 2025
- [j33]Yaoyao Han
, Xiaoxi Ding
Dual-drive RUL prediction of gear transmission systems based on dynamic model and unsupervised domain adaption under zero sample. Reliab. Eng. Syst. Saf. 253: 110442 (2025) - [j32]Rui Liu, Xiaoxi Ding, Shenglan Liu, Hebin Zheng, Yuanyaun Xu, Yimin Shao:
Knowledge-informed FIR-based cross-category filtering framework for interpretable machinery fault diagnosis under small samples. Reliab. Eng. Syst. Saf. 254: 110610 (2025) - 2024
- [j31]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) - [j30]Rui Liu, Xiaoxi Ding
An interpretable multiplication-convolution residual network for equipment fault diagnosis via time-frequency filtering. Adv. Eng. Informatics 60: 102421 (2024) - [j29]Rui Liu, Xiaoxi Ding
Prior-knowledge-guided mode filtering network for interpretable equipment intelligent diagnosis under varying speed conditions. Adv. Eng. Informatics 61: 102493 (2024) - [j28]Yinjun Wang
A reference learning network for fault diagnosis of rotating machinery under strong noise. Appl. Soft Comput. 166: 112150 (2024) - [j27]Jian Tang, Jiawei Xiao, Wentao Chen, Xuegang Li, Chao Wei, Xiaoxi Ding
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) - [j26]Wenbing Huang, Zixian Li
Digital-analog driven multi-scale transfer for smart bearing fault diagnosis. Eng. Appl. Artif. Intell. 137: 109186 (2024) - [j25]Xuegang Li, Jian Tang, Yuanyue Pu, Changyuan Wang, Huajun Cao, Xiaoxi Ding, Wenbin Huang
Domain expansion fusion single-domain generalization framework for mechanical fault diagnosis under unknown working conditions. Eng. Appl. Artif. Intell. 138: 109380 (2024) - [j24]Zixian Li, Xiaoxi Ding
Digital twin-assisted dual transfer: A novel information-model adaptation method for rolling bearing fault diagnosis. Inf. Fusion 106: 102271 (2024) - [j23]Qihang Wu
IoT-Based Adaptive Multiplication-Convolution Sparse Denoising for Equipment Edge Condition Evaluation. IEEE Internet Things J. 11(18): 29661-29672 (2024) - [j22]Jian Tang
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
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
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
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
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
Sinc-Based Multiplication-Convolution Network for Small-Sample Fault Diagnosis and Edge Application. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j15]Jian Tang
An Efficient Sequential Embedding ConvNet for Rotating Machinery Intelligent Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j14]Qihang Wu
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
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
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
Rotating Machinery Fault Identification via Adaptive Convolutional Neural Network. J. Sensors 2022: 1-11 (2022) - [j10]Yinjun Wang
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
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
Gearbox Fault Diagnosis Using Multiscale Sparse Frequency-Frequency Distributions. IEEE Access 9: 113089-113099 (2021) - [j7]Quanchang Li
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
A Weight Multinet Architecture for Bearing Fault Classification Under Complex Speed Conditions. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j5]Yinjun Wang
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
Transient Signal Analysis Using Parallel Time-Frequency Manifold Filtering for Bearing Health Diagnosis. IEEE Access 7: 175277-175289 (2019) - [j3]Xiaoxi Ding, Qingbo He
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
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
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