Zongzhen Zhang

Orcid: 0000-0002-2022-2116

According to our database1, Zongzhen Zhang authored at least 18 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
The Piston Slap Force Reconstruction of Diesel Engine Using WOA-VMD and Deconvolution.
Sensors, June, 2024

A New Dual-Domain Signal Collaborative Transfer Network for Bearing Fault Diagnosis.
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

Attention guided multi-wavelet adversarial network for cross domain fault diagnosis.
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

A New Universal Domain Adaptive Method for Diagnosing Unknown Bearing Faults.
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


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