Zongzhen Zhang
Orcid: 0000-0002-2022-2116
According to our database1,
Zongzhen Zhang
authored at least 25 papers
between 2019 and 2025.
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Bibliography
2025
Hybrid Attention-Driven Convolutional Adversarial Network for Cross-Domain Bearing Fault Diagnosis Using Acoustic Signals.
IEEE Trans. Instrum. Meas., 2025
A Novel GAN-Based Signal Resolution Enhancement Method for Mechanical Fault Diagnosis Under Sample Insufficiency.
IEEE Trans. Instrum. Meas., 2025
A new adaptive multi-scale attention adversarial network for cross-domain fault diagnosis.
Knowl. Based Syst., 2025
Working condition decoupling adversarial network: A novel method for multi-target domain fault diagnosis.
Neurocomputing, 2025
Weighted multi-source domain unsupervised adaptive network for rotating machinery fault diagnosis based on dual adversarial.
Eng. Appl. Artif. Intell., 2025
Self-learning guided residual shrinkage network for intelligent fault diagnosis of planetary gearbox.
Eng. Appl. Artif. Intell., 2025
Nonlinear sparse filtering network for bearing compound fault separation and extraction.
Adv. Eng. Informatics, 2025
2024
The Piston Slap Force Reconstruction of Diesel Engine Using WOA-VMD and Deconvolution.
Sensors, June, 2024
IEEE Trans. Instrum. Meas., 2024
Nonlinear Blind Deconvolution Based on Generalized Normalized l<sub>p</sub>/l<sub>q</sub> Norm for Early Fault Detection.
IEEE Trans. Instrum. Meas., 2024
Adaptive Convolution Sparse Filtering Method for the Fault Diagnosis of an Engine Timing Gearbox.
Sensors, 2024
Knowl. Based Syst., 2024
Integrated decision-making with adaptive feature weighting adversarial network for multi-target domain compound fault diagnosis of machinery.
Adv. Eng. Informatics, 2024
2023
Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis.
Reliab. Eng. Syst. Saf., June, 2023
A Novel Domain Adaptive Fault Diagnosis Method for Bearings Based on Unbalance Data Generation.
IEEE Trans. Instrum. Meas., 2023
2022
Partial Domain Adaptation Method Based on Class-Weighted Alignment for Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2022
Parallel Cross-Sparse Filtering Networks and Its Application on Fault Diagnosis of Rotating Machinery.
J. Sensors, 2022
2021
A Generalizable Sample Resolution Augmentation Method for Mechanical Fault Diagnosis Based on ESPCN.
J. Sensors, 2021
Parallel sparse filtering for intelligent fault diagnosis using acoustic signal processing.
Neurocomputing, 2021
Entropy, 2021
A Non-Contact Fault Diagnosis Method for Bearings and Gears Based on Generalized Matrix Norm Sparse Filtering.
Entropy, 2021
2020
Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis.
Neurocomputing, 2020
A Novel Unsupervised Learning Method Based on Cross-Normalization for Machinery Fault Diagnosis.
IEEE Access, 2020
Multidimensional Blind Deconvolution Method Based on Cross-Sparse Filtering for Weak Fault Diagnosis.
IEEE Access, 2020
2019
Adaptive Reinforced Empirical Morlet Wavelet Transform and Its Application in Fault Diagnosis of Rotating Machinery.
IEEE Access, 2019