Zhongkui Zhu
Orcid: 0000-0001-9827-4154
According to our database1,
Zhongkui Zhu
authored at least 60 papers
between 2009 and 2024.
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Bibliography
2024
Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions.
IEEE Trans. Ind. Informatics, April, 2024
Spectral structure inducing efficient variational model for enhancing bearing fault feature.
Signal Process., March, 2024
Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis.
Reliab. Eng. Syst. Saf., March, 2024
Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis.
Inf. Fusion, January, 2024
2023
Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., December, 2023
Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis.
Eng. Appl. Artif. Intell., November, 2023
Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery.
Adv. Eng. Informatics, October, 2023
Double-Scale Convolutional Autoencoder and Extreme Learning Machine for Parameter Identification of DC Bus Capacitor in Power Electronic Transformer.
IEEE Trans. Ind. Informatics, August, 2023
Classifier Discrepancy Guided Soft-Weight Adaptation Network for Machinery Fault Diagnosis Under Domain and Category Shift.
IEEE Trans. Instrum. Meas., 2023
A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy.
IEEE Trans. Instrum. Meas., 2023
Dual Contrastive Learning for Semi-Supervised Fault Diagnosis Under Extremely Low Label Rate.
IEEE Trans. Instrum. Meas., 2023
Categorical Feature GAN for Imbalanced Intelligent Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2023
Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis.
Knowl. Based Syst., 2023
The Low-rank Double-scale Convolutional Neural Network for Parameter Identification of DC Bus Capacitor in Smart Transformer.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Multisource Domain Feature Adaptation Network for Bearing Fault Diagnosis Under Time-Varying Working Conditions.
IEEE Trans. Instrum. Meas., 2022
Self-Adaptive Multivariate Variational Mode Decomposition and Its Application for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Instantaneous Frequency Synchronized Generalized Stepwise Demodulation Transform for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Dynamic Balanced Domain-Adversarial Networks for Cross-Domain Fault Diagnosis of Train Bearings.
IEEE Trans. Instrum. Meas., 2022
A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Instrum. Meas., 2022
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy.
Knowl. Based Syst., 2022
Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions.
Knowl. Based Syst., 2022
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022
2021
Enhanced Sparse Regularization Based on Logarithm Penalty and Its Application to Gearbox Compound Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021
Comput. Appl. Math., 2021
2020
IEEE Trans. Instrum. Meas., 2020
Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2020
Reliab. Eng. Syst. Saf., 2020
An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis.
Complex., 2020
An Intelligent Deep Feature Learning Method With Improved Activation Functions for Machine Fault Diagnosis.
IEEE Access, 2020
Capacitor Voltage Ripple Minimization of a Modular Three-Phase AC/DC Power Electronics Transformer With Four-Winding Power Channel.
IEEE Access, 2020
An Optimization Tendency Guiding Mode Decomposition Method for Bearing Fault Detection Under Varying Speed Conditions.
IEEE Access, 2020
Matching Linear Chirplet Strategy-Based Synchroextracting Transform and Its Application to Rotating Machinery Fault Diagnosis.
IEEE Access, 2020
2019
IEEE Trans. Instrum. Meas., 2019
Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2019
Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds.
IEEE Access, 2019
IEEE Access, 2019
IEEE Access, 2019
A Coarse TF Ridge-Guided Multi-Band Feature Extraction Method for Bearing Fault Diagnosis Under Varying Speed Conditions.
IEEE Access, 2019
Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Gearbox Fault Diagnosis.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019
2018
A Wavelet-Based Statistical Approach for Monitoring and Diagnosis of Compound Faults With Application to Rolling Bearings.
IEEE Trans Autom. Sci. Eng., 2018
Automatic instantaneous frequency order (IFO) extraction via integration strategy and multi-demodulation for bearing fault diagnosis under variable speed operation.
J. Intell. Fuzzy Syst., 2018
Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis.
Neurocomputing, 2018
IET Image Process., 2018
An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder.
Eng. Appl. Artif. Intell., 2018
An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis.
IEEE Access, 2018
Feature enhancement via balanced non-convex regularization for rotary machine fault diagnosis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018
2017
Transients Extraction Based on Averaged Random Orthogonal Matching Pursuit Algorithm for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2017
Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery.
IEEE Access, 2017
A self-adaptive deep belief network with Nesterov momentum for the fault diagnosis of rolling element bearings.
Proceedings of the 2017 International Conference on Deep Learning Technologies, 2017
2016
Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016
2015
IET Comput. Vis., 2015
2014
Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection.
Signal Process., 2014
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014
The Research of the Transient Feature Extraction by Resonance-Based Method Using Double-TQWT.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014
2013
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013
2010
Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection.
EURASIP J. Adv. Signal Process., 2010
Health Status Identification of Connecting Rod Bearing Based on Support Vector Machine.
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010
2009
Synchronous Enhancement of Periodic Transients on Polar Diagram for Machine Fault Diagnosis.
Int. J. Wavelets Multiresolution Inf. Process., 2009