Xiaoxi Ding
Orcid: 0000-0001-5321-0894
According to our database1,
Xiaoxi Ding
authored at least 24 papers
between 2016 and 2024.
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Bibliography
2024
An Interpretable Multiplication-Convolution Network for Equipment Intelligent Edge Diagnosis.
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.
IEEE Trans. Ind. Informatics, May, 2024
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples.
Eng. Appl. Artif. Intell., 2024
2023
Lamb-Waves-Based Sparse Distributed Penetrating Communication via Phase-Position Modulation for Enclosed Metal Structures.
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.
Swarm Evol. Comput., December, 2023
A Dual-View Style Mixing Network for unsupervised cross-domain fault diagnosis with imbalanced data.
Knowl. Based Syst., October, 2023
Multiple local domains transfer network for equipment fault intelligent identification.
Eng. Appl. Artif. Intell., April, 2023
A Novel Optimization Demodulation Method for Gear Fault Vibration Overmodulation Signal and Its Application to Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Decision Self-Regulating Network for Imbalanced Working Conditions Identification in the Application of Gearbox Intelligent Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
An Interpretable Multiplication-Convolution Sparse Network for Equipment Intelligent Diagnosis in Antialiasing and Regularization Constraint.
IEEE Trans. Instrum. Meas., 2023
An Efficient Sequential Embedding ConvNet for Rotating Machinery Intelligent Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Sinc-Based Multiplication-Convolution Network for Small-Sample Fault Diagnosis and Edge Application.
IEEE Trans. Instrum. Meas., 2023
2022
Signal-Transformer: A Robust and Interpretable Method for Rotating Machinery Intelligent Fault Diagnosis Under Variable Operating Conditions.
IEEE Trans. Instrum. Meas., 2022
ConditionSenseNet: A Deep Interpolatory ConvNet for Bearing Intelligent Diagnosis Under Variational Working Conditions.
IEEE Trans. Ind. Informatics, 2022
J. Sensors, 2022
2021
An Efficient Incremental Learning of Bearing Fault Imbalanced Data Set via Filter StyleGAN.
IEEE Trans. Instrum. Meas., 2021
A Weight Multinet Architecture for Bearing Fault Classification Under Complex Speed Conditions.
IEEE Trans. Instrum. Meas., 2021
Manifold Sensing-Based Convolution Sparse Self-Learning for Defective Bearing Morphological Feature Extraction.
IEEE Trans. Ind. Informatics, 2021
IEEE Access, 2021
2019
Transient Feature Extraction Based on Time-Frequency Manifold Image Synthesis for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2019
Transient Signal Analysis Using Parallel Time-Frequency Manifold Filtering for Bearing Health Diagnosis.
IEEE Access, 2019
2017
Energy-Fluctuated Multiscale Feature Learning With Deep ConvNet for Intelligent Spindle Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2017
2016
Sparse Signal Reconstruction Based on Time-Frequency Manifold for Rolling Element Bearing Fault Signature Enhancement.
IEEE Trans. Instrum. Meas., 2016
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016