Dong Zhen
Orcid: 0000-0002-5047-3346Affiliations:
- Hebei University of Technology, School of Mechanical Engineering, Tianjin, China
According to our database1,
Dong Zhen
authored at least 22 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on scopus.com
-
on orcid.org
On csauthors.net:
Bibliography
2024
Motor Current Signature Analysis Using Robust Modulation Spectrum Correlation Gram for Gearbox Fault Detection.
IEEE Trans. Ind. Informatics, February, 2024
Multiscale cyclic frequency demodulation-based feature fusion framework for multi-sensor driven gearbox intelligent fault detection.
Knowl. Based Syst., January, 2024
2023
A Novel Deep Convolutional Neural Network Combining Global Feature Extraction and Detailed Feature Extraction for Bearing Compound Fault Diagnosis.
Sensors, October, 2023
Intelligent Fault Detection for Rotating Machinery Using Cyclic Morphological Modulation Spectrum and Hierarchical Teager Permutation Entropy.
IEEE Trans. Ind. Informatics, April, 2023
Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis.
Reliab. Eng. Syst. Saf., 2023
2022
Fast Spectral Correlation Detector for Periodic Impulse Extraction of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Rapid State of Health Estimation of Lithium-ion Batteries based on An Active Acoustic Emission Sensing Method.
Proceedings of the 27th International Conference on Automation and Computing, 2022
2021
IEEE Trans. Instrum. Meas., 2021
2020
Fault Diagnosis of Planetary Gearbox Based on Adaptive Order Bispectrum Slice and Fault Characteristics Energy Ratio Analysis.
Sensors, 2020
A Novel Method for the Dynamic Coefficients Identification of Journal Bearings Using Kalman Filter.
Sensors, 2020
2019
A Novel Fault Detection Method for Rolling Bearings Based on Non-Stationary Vibration Signature Analysis.
Sensors, 2019
An Evaluation of Gearbox Condition Monitoring Using Infrared Thermal Images Applied with Convolutional Neural Networks.
Sensors, 2019
Proceedings of the 25th International Conference on Automation and Computing, 2019
Fault Diagnosis of Planetary Gear System Based on Nonlinear Time-varying Dynamic Model Analysis.
Proceedings of the 25th International Conference on Automation and Computing, 2019
Broken Rotor Bar Detection Using Mathematical Morphology Based on Instantaneous Induction Motor Electrical Signals Analysis.
Proceedings of the 25th International Conference on Automation and Computing, 2019
2018
Sensors, 2018
Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis.
Sensors, 2018
Diagnosing the Change in the Internal Clearances of Rolling Element Bearings based on Vibration Signatures.
Proceedings of the 24th International Conference on Automation and Computing, 2018
Fault Diagnosis of Planetary Gearboxes via Processing the On-Rotor MEMS Accelerometer Signals.
Proceedings of the 24th International Conference on Automation and Computing, 2018
2015
Implementation of envelope analysis on a wireless condition monitoring system for bearing fault diagnosis.
Int. J. Autom. Comput., 2015
2013
The real-time implementation of envelope analysis for bearing fault diagnosis based on wireless sensor network.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013