Zhifen Zhang
Orcid: 0000-0003-2086-6808
According to our database1,
Zhifen Zhang
authored at least 29 papers
between 2005 and 2024.
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Bibliography
2024
A novel physically interpretable end-to-end network for stress monitoring in laser shock peening.
Comput. Ind., February, 2024
Deciphering laser shock peening quality monitoring: Wavelet-driven network with interpretability.
Adv. Eng. Informatics, 2024
2023
Surface stress monitoring of laser shock peening using AE time-scale texture image and multi-scale blueprint separable convolutional networks with attention mechanism.
Expert Syst. Appl., August, 2023
A Novel Approach for Surface Integrity Monitoring in High-Energy Nanosecond-Pulse Laser Shock Peening: Acoustic Emission and Hybrid-Attention CNN.
IEEE Trans. Ind. Informatics, March, 2023
Lightweight Neural Network Architecture for Pipeline Weld Crack Leakage Monitoring Using Acoustic Emission.
IEEE Trans. Instrum. Meas., 2023
2022
Online Evaluation of Surface Hardness for Aluminum Alloy in LSP Using Modal Acoustic Emission.
IEEE Trans. Instrum. Meas., 2022
Observer-based output feedback control for networked systems with dual-channel event-triggered sampling and quantization.
J. Frankl. Inst., 2022
2021
Real-Time Measurement of Seam Strength Using Optical Spectroscopy for Al-Li Alloy in Laser Beam Welding.
IEEE Trans. Instrum. Meas., 2021
An Intelligent Fault Diagnosis Method Based on Domain Adaptation and Its Application for Bearings Under Polytropic Working Conditions.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
A Novel Convolutional Neural Network Based on Time-Frequency Spectrogram of Arc Sound and Its Application on GTAW Penetration Classification.
IEEE Trans. Ind. Informatics, 2021
Fetal birthweight prediction with measured data by a temporal machine learning method.
BMC Medical Informatics Decis. Mak., 2021
In-Situ Monitoring of Laser Additive Manufacturing for Al7075 Alloy Using Emission Spectroscopy and Plume Imaging.
IEEE Access, 2021
2019
Frequency Phase Space Empirical Wavelet Transform for Rolling Bearings Fault Diagnosis.
IEEE Access, 2019
Rolling Bearing Incipient Degradation Monitoring and Performance Assessment Based on Signal Component Tracking.
IEEE Access, 2019
Bearing fault diagnosis under different operating conditions based on cross domain feature projection and domain adaptation.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019
2018
Audible Sound-Based Intelligent Evaluation for Aluminum Alloy in Robotic Pulsed GTAW: Mechanism, Feature Selection, and Defect Detection.
IEEE Trans. Ind. Informatics, 2018
Seam Penetration Recognition for GTAW Using Convolutional Neural Network Based on Time-Frequency Image of Arc Sound.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018
2017
Real-time seam penetration identification in arc welding based on fusion of sound, voltage and spectrum signals.
J. Intell. Manuf., 2017
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
2016
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016
Multisensory data fusion technique and its application to welding process monitoring.
Proceedings of the 2016 IEEE Workshop on Advanced Robotics and its Social Impacts, 2016
2005
Abelian integrals and period functions for quasihomogeneous Hamiltonian vector fields.
Appl. Math. Lett., 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005