Zhongkui Zhu

97 papers B 1Journal 87Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A new physics-guided interpretable continual learning method for incremental fault diagnosis of rotating machinery.
J. Ind. Inf. Integr.
Yan Zhang, Changqing Shen, Xiaofen Ye, Juanjuan Shi, Weiguo Huang, Zhongkui Zhu
2026 J jnl
Feature semantic alignment network for rotating machinery domain generalization fault diagnosis with limited labeled samples.
Neurocomputing
He Ren, Junwen Xing, Yi Zhang, Jun Wang, Zhongkui Zhu
2026 J jnl
Frequency-angle adaptive synchronous demodulation in three-dimensional space for enhancing time-varying features.
Digit. Signal Process.
Yuting Chen, Juanjuan Shi, Weiguo Huang, Changqing Shen, Zhongkui Zhu
2026 J jnl
Knowledge regroupment and preference calibration framework for unpredicted fault diagnosis under unknown working conditions.
Reliab. Eng. Syst. Saf.
Qiuyu Song, Xingxing Jiang, Shangkuo Yang, He Ren, Jie Liu, Zhongkui Zhu
2026 J jnl
Pseudo-central feature matching: An adaptive semisupervised fault diagnosis method for knowledge transfer under variable working conditions.
Eng. Appl. Artif. Intell.
Changqing Shen, Hangqi Ge, Hao Yang, Juanjuan Shi, Dong Wang, Zhongkui Zhu
2026 J jnl
Time-frequency aware feature disentanglement learning for intelligent bearing fault diagnosis under variable speed conditions.
Expert Syst. Appl.
Yuting Chen, Juanjuan Shi, Changqing Shen, Hao Yang, Zehui Hua, Weiguo Huang, Zhongkui Zhu
2025 J jnl
A new adaptive representation dual classifier residual network for continuous fault diagnosis of rotating machinery with domain increments.
Adv. Eng. Informatics
Yan Zhang, Changqing Shen, Hao Yang, Juanjuan Shi, Weiguo Huang, Zhongkui Zhu
2025 J jnl
A new lifelong learning method based on dual distillation for bearing diagnosis with incremental fault types.
Adv. Eng. Informatics
Shijun Xie, Changqing Shen, Dong Wang, Juanjuan Shi, Weiguo Huang, Zhongkui Zhu
2025 J jnl
A physics-guided memory enhancement and causality-inspired generalization framework for continual fault diagnosis.
Knowl. Based Syst.
Ning Jia, Weiguo Huang, Panpan Guo, Chuancang Ding, Yifan Huangfu, Changqing Shen, Zhongkui Zhu
2025 J jnl
Adaptive variational sampling-embedded domain generalization network for fault diagnosis with intra-inter-domain class imbalance.
Reliab. Eng. Syst. Saf.
Xiao Zhang, Weiguo Huang, Jun Wang, Zhongkui Zhu, Changqing Shen, Kai Chen, Xingli Zhong, Li He
2025 J jnl
Auxiliary-feature-embedded causality-inspired dynamic penalty networks for open-set domain generalization diagnosis scenario.
Adv. Eng. Informatics
Ning Jia, Weiguo Huang, Chuancang Ding, Yifan Huangfu, Juanjuan Shi, Zhongkui Zhu
2025 J jnl
CDARNet: A robust cross-dimensional adaptive region reconstruction network for real-time metal surface defect segmentation.
Adv. Eng. Informatics
Qiancheng Li, Chuancang Ding, Baoxiang Wang, Jinyang Jiao, Weiguo Huang, Zhongkui Zhu
2025 J jnl
Class-aware quantitative adversarial network: a novel partial-set transfer mechanism for cross-domain fault diagnosis of rotating machinery.
Knowl. Based Syst.
Yanlin Zhou, Chuancang Ding, Mingkuan Shi, Hongbo Que, Yifan Huangfu, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2025 J jnl
Comprehensive feature integrated capsule network for Machinery fault diagnosis.
Expert Syst. Appl.
Huangkun Xing, Xingxing Jiang, Qiuyu Song, Qian Wang, Jie Liu, Zhongkui Zhu
2025 J jnl
Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst.
Qiuyu Song, Xingxing Jiang, Jie Liu, Juanjuan Shi, Zhongkui Zhu
2025 J jnl
Hybrid Constraints Embedding Variational Nonlinear Chirp Mode Decomposition for Rotating Machine Fault Diagnosis Under Time-Varying Speed Conditions.
IEEE Trans. Instrum. Meas.
Xiaoting Huang, Chuancang Ding, Di Cheng, Baoxiang Wang, Xingxing Jiang, Weiguo Huang, Zhongkui Zhu
2025 J jnl
Imbalanced Partial Transfer Network for Intelligent Machine Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Chuancang Ding, Yanlin Zhou, Xuyan Liu, Baoxiang Wang, Weiguo Huang, Zhongkui Zhu
2025 J jnl
Interpretable Transfer Unrolling Network for Intelligent Cross-Domain Condition Monitoring of Rotating Machinery.
IEEE Trans. Instrum. Meas.
Kai Chen, Chuancang Ding, Baoxiang Wang, Jun Wang, Weiguo Huang, Zhongkui Zhu
2025 J jnl
Low-Rank Informed Adaptive Chirp Mode Decomposition and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Conditions.
IEEE Trans. Instrum. Meas.
Chuancang Ding, Xiaoting Huang, Baoxiang Wang, Xuan Li, Weiguo Huang, Zhongkui Zhu
2025 J jnl
PC3Net: A prior-causal contrast-collaboration network for single domain generalization fault diagnosis.
Reliab. Eng. Syst. Saf.
Ning Jia, Weiguo Huang, Chuancang Ding, Jun Wang, Zhongkui Zhu
2025 J jnl
ST-GMLP: A concise spatial-temporal framework based on gated multi-layer perceptron for traffic flow forecasting.
Neural Networks
Yong Luo, Jianying Zheng, Xiang Wang, Wenjuan E, Xingxing Jiang, Zhongkui Zhu
2025 J jnl
Self-supervised progressive learning for fault diagnosis under limited labeled data and varying conditions.
Neurocomputing
Qiuyu Song, Lidong Yang, Xingxing Jiang, Zhongkui Zhu
2025 J jnl
Semi-supervised feature contrast incremental learning framework for bearing fault diagnosis with limited labeled samples.
Appl. Soft Comput.
Xuyang Tao, Changqing Shen, Lin Li, Dong Wang, Juanjuan Shi, Zhongkui Zhu
2025 J jnl
Spectral feature-informed difference multi-modes decomposition for compound bearing fault diagnosis.
Expert Syst. Appl.
Tao Meng, Xingxing Jiang, Shangkuo Yang, Jie Liu, Hao Gao, Zhongkui Zhu
2025 J jnl
Universal multimodal aggregation network with adaptive enhancement and semantic guidance for salient object detection.
Eng. Appl. Artif. Intell.
Qiancheng Li, Chuancang Ding, Baoxiang Wang, Jun Wang, Weiguo Huang, Zhongkui Zhu
2024 J jnl
A new feature boosting based continual learning method for bearing fault diagnosis with incremental fault types.
Adv. Eng. Informatics
Zhenzhong He, Changqing Shen, Bojian Chen, Juanjuan Shi, Weiguo Huang, Zhongkui Zhu, Dong Wang
2024 J jnl
Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments.
Adv. Eng. Informatics
Yan Zhang, Changqing Shen, Xingli Zhong, Kai Chen, Weiguo Huang, Zhongkui Zhu
2024 J jnl
Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions.
IEEE Trans. Ind. Informatics
Mingkuan Shi, Chuancang Ding, Shuyuan Chang, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2024 J jnl
Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments.
Knowl. Based Syst.
Yan Zhang, Changqing Shen, Juanjuan Shi, Chuan Li, Xinhai Lin, Zhongkui Zhu, Dong Wang
2024 J jnl
Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data.
Adv. Eng. Informatics
Mingkuan Shi, Chuancang Ding, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2024 J jnl
Low-Rank Constrained Multikernel General Parameterized Time-Frequency Transform and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Condition.
IEEE Trans. Instrum. Meas.
Chuancang Ding, Baoxiang Wang, Xingxing Jiang, Guifu Du, Weiguo Huang, Zhongkui Zhu
2024 J jnl
Modified Feature Mode Decomposition Guided by Spectral Structure Information for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Tao Meng, Xingxing Jiang, Qiuyu Song, Zhihua Hu, Jianfeng Guo, Zhongkui Zhu
2024 J jnl
Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis.
Reliab. Eng. Syst. Saf.
Jun Wang, He Ren, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2024 J jnl
Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis.
Inf. Fusion
Xingxing Jiang, Xuegang Li, Qian Wang, Qiuyu Song, Jie Liu, Zhongkui Zhu
2024 J jnl
Partial Transfer Learning Method Based on Inter-Class Feature Transfer for Rolling Bearing Fault Diagnosis.
Sensors
Hongbo Que, Xuyan Liu, Siqin Jin, Yaoyan Huo, Chengpan Wu, Chuancang Ding, Zhongkui Zhu
2024 J jnl
Physics-informed unsupervised domain adaptation framework for cross-machine bearing fault diagnosis.
Adv. Eng. Informatics
Ning Jia, Weiguo Huang, Chuancang Ding, Jun Wang, Zhongkui Zhu
2024 J jnl
Point Rail of High-Speed Railway Turnout Induced Feature Extraction Using Oscillatory Behavior-Based Signal Sparse Decomposition.
IEEE Trans. Instrum. Meas.
Weizhen Liu, Miao Tang, Jinzhao Liu, Hangyuan Qin, Juanjuan Shi, Weiguo Huang, Changqing Shen, Zhongkui Zhu
2024 J jnl
Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis.
Reliab. Eng. Syst. Saf.
Hongyan Zhu, Changqing Shen, Lin Li, Dong Wang, Weiguo Huang, Zhongkui Zhu
2024 J jnl
Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples.
Knowl. Based Syst.
Mingkuan Shi, Chuancang Ding, Rui Wang, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2024 J jnl
Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis.
Adv. Eng. Informatics
Xingxing Jiang, Qiuyu Song, Qian Wang, Wanliang Zhang, Chuancang Ding, Zhongkui Zhu
2024 J jnl
Spectral structure inducing efficient variational model for enhancing bearing fault feature.
Signal Process.
Xin Wang, Xingxing Jiang, Qiuyu Song, Jie Liu, Jianfeng Guo, Zhongkui Zhu
2023 J jnl
A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy.
IEEE Trans. Instrum. Meas.
Changqing Shen, Jing Tian, Jun Zhu, Juanjuan Shi, Zhongkui Zhu, Dong Wang
2023 J jnl
Categorical Feature GAN for Imbalanced Intelligent Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas.
Jun Dai, Jun Wang, Lin-Quan Yao, Weiguo Huang, Zhongkui Zhu
2023 J jnl
Classifier Discrepancy Guided Soft-Weight Adaptation Network for Machinery Fault Diagnosis Under Domain and Category Shift.
IEEE Trans. Instrum. Meas.
Rui Wang, Weiguo Huang, Jun Wang, Chuancang Ding, Changqing Shen, Zhongkui Zhu
2023 J jnl
Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery.
Adv. Eng. Informatics
Mingkuan Shi, Chuancang Ding, Shuyuan Chang, Rui Wang, Weiguo Huang, Zhongkui Zhu
2023 J jnl
Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis.
Knowl. Based Syst.
Mingkuan Shi, Chuancang Ding, Rui Wang, Qiuyu Song, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2023 J jnl
Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis.
Eng. Appl. Artif. Intell.
He Ren, Jun Wang, Weiguo Huang, Xingxing Jiang, Zhongkui Zhu
2023 J jnl
Double-Scale Convolutional Autoencoder and Extreme Learning Machine for Parameter Identification of DC Bus Capacitor in Power Electronic Transformer.
IEEE Trans. Ind. Informatics
Xiaohui Li, Liqun He, Zhongkui Zhu, Cheng Wang, Juanjuan Shi, Guifu Du, Yu Chen
2023 J jnl
Dual Contrastive Learning for Semi-Supervised Fault Diagnosis Under Extremely Low Label Rate.
IEEE Trans. Instrum. Meas.
Linghui Lu, Jun Wang, Weiguo Huang, Changqing Shen, Juanjuan Shi, Zhongkui Zhu
2023 J jnl
Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf.
Mingkuan Shi, Chuancang Ding, Rui Wang, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2023 B conf
The Low-rank Double-scale Convolutional Neural Network for Parameter Identification of DC Bus Capacitor in Smart Transformer.
IJCNN
Xiaohui Li, Zhongkui Zhu, Liqun He, Yu-e Sun, Yu Chen
2022 J jnl
A Lifelong Learning Method for Gearbox Diagnosis With Incremental Fault Types.
IEEE Trans. Instrum. Meas.
Bojian Chen, Changqing Shen, Dong Wang, Lin Kong, Liang Chen, Zhongkui Zhu
2022 J jnl
A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Jingde Li, Changqing Shen, Lin Kong, Dong Wang, Min Xia, Zhongkui Zhu
2022 J jnl
Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Qiuyu Song, Xingxing Jiang, Jie Liu, Xin Wang, Guifu Du, Jianying Zheng, Zhongkui Zhu
2022 — conf
An Enhanced Sparse Filtering Fusion Method for Bearing Fault Diagnosis.
ICPHM
Demin Peng, Xingxing Jiang, Qiuyu Song, Zhongkui Zhu
2022 J jnl
Dynamic Balanced Domain-Adversarial Networks for Cross-Domain Fault Diagnosis of Train Bearings.
IEEE Trans. Instrum. Meas.
He Ren, Jun Wang, Jun Dai, Zhongkui Zhu, Jinzhao Liu
2022 J jnl
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy.
Knowl. Based Syst.
Rui Wang, Weiguo Huang, Mingkuan Shi, Jun Wang, Changqing Shen, Zhongkui Zhu
2022 J jnl
Instantaneous Frequency Synchronized Generalized Stepwise Demodulation Transform for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Juanjuan Shi, Zehui Hua, Weiguo Huang, Patrick Dumond, Changqing Shen, Zhongkui Zhu
2022 J jnl
Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions.
Knowl. Based Syst.
Xuegang Li, Xingxing Jiang, Qian Wang, Lidong Yang, Zhijian Wang, Changqing Shen, Zhongkui Zhu
2022 J jnl
Multisource Domain Feature Adaptation Network for Bearing Fault Diagnosis Under Time-Varying Working Conditions.
IEEE Trans. Instrum. Meas.
Rui Wang, Weiguo Huang, Jun Wang, Changqing Shen, Zhongkui Zhu
2022 J jnl
Self-Adaptive Multivariate Variational Mode Decomposition and Its Application for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Qiuyu Song, Xingxing Jiang, Shuang Wang, Jianfeng Guo, Weiguo Huang, Zhongkui Zhu
2021 J jnl
An optimized discrete grey multi-variable convolution model and its applications.
Comput. Appl. Math.
Qin-Qin Shen, Yang Cao, Lin-Quan Yao, Zhongkui Zhu
2021 J jnl
Enhanced Sparse Regularization Based on Logarithm Penalty and Its Application to Gearbox Compound Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Yi Liao, Weiguo Huang, Changqing Shen, Zhongkui Zhu, Jianping Xuan, Lingfeng Mao
2020 J jnl
An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis.
Complex.
Haien Wang, Xingxing Jiang, Wenjun Guo, Juanjuan Shi, Zhongkui Zhu
2020 J jnl
An Intelligent Deep Feature Learning Method With Improved Activation Functions for Machine Fault Diagnosis.
IEEE Access
Wei You, Changqing Shen, Dong Wang, Liang Chen, Xingxing Jiang, Zhongkui Zhu
2020 J jnl
An Optimization Tendency Guiding Mode Decomposition Method for Bearing Fault Detection Under Varying Speed Conditions.
IEEE Access
Xingxing Jiang, Wenjun Guo, Guifu Du, Juanjuan Shi, Zhongkui Zhu
2020 J jnl
Capacitor Voltage Ripple Minimization of a Modular Three-Phase AC/DC Power Electronics Transformer With Four-Winding Power Channel.
IEEE Access
Xiaohui Li, Linqian Cheng, Liqun He, Zhongkui Zhu, Yong Yang, Cheng Wang
2020 J jnl
Matching Linear Chirplet Strategy-Based Synchroextracting Transform and Its Application to Rotating Machinery Fault Diagnosis.
IEEE Access
Zehui Hua, Juanjuan Shi, Zhongkui Zhu
2020 J jnl
Multi-scale deep intra-class transfer learning for bearing fault diagnosis.
Reliab. Eng. Syst. Saf.
Xu Wang, Changqing Shen, Min Xia, Dong Wang, Jun Zhu, Zhongkui Zhu
2020 J jnl
Multiple Enhanced Sparse Decomposition for Gearbox Compound Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Ning Li, Weiguo Huang, Wenjun Guo, Guanqi Gao, Zhongkui Zhu
2020 J jnl
Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Weiguo Huang, Ning Li, Ivan W. Selesnick, Juanjuan Shi, Jun Wang, Lei Mao, Xingxing Jiang, Zhongkui Zhu
2019 J jnl
A Coarse TF Ridge-Guided Multi-Band Feature Extraction Method for Bearing Fault Diagnosis Under Varying Speed Conditions.
IEEE Access
Wenjun Guo, Xingxing Jiang, Ning Li, Juanjuan Shi, Zhongkui Zhu
2019 J jnl
A New Deep Fusion Network for Automatic Mechanical Fault Feature Learning.
IEEE Access
Yumei Qi, Changqing Shen, Jun Zhu, Xingxing Jiang, Juanjuan Shi, Zhongkui Zhu
2019 — conf
Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Gearbox Fault Diagnosis.
AIM
Yumei Qi, Changqing Shen, Juanjuan Shi, Weiguo Huang, Zhongkui Zhu
2019 J jnl
Dual-Enhanced Sparse Decomposition for Wind Turbine Gearbox Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Lin Wang, Gaigai Cai, Jun Wang, Xingxing Jiang, Zhongkui Zhu
2019 J jnl
Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds.
IEEE Access
Juanjuan Shi, Weiguo Huang, Changqing Shen, Xingxing Jiang, Zhongkui Zhu
2019 J jnl
Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings.
IEEE Access
Tao Jiang, Jun Wang, Changqing Shen, Xingxing Jiang, Zhongkui Zhu
2019 J jnl
Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Weiguo Huang, Guanqi Gao, Ning Li, Xingxing Jiang, Zhongkui Zhu
2018 J jnl
A Wavelet-Based Statistical Approach for Monitoring and Diagnosis of Compound Faults With Application to Rolling Bearings.
IEEE Trans Autom. Sci. Eng.
Wei Fan, Qiang Zhou, Jian Li, Zhongkui Zhu
2018 J jnl
Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis.
Neurocomputing
Shenghao Tang, Changqing Shen, Dong Wang, Shuang Li, Weiguo Huang, Zhongkui Zhu
2018 J jnl
An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis.
IEEE Access
Jiaqi Xie, Guifu Du, Changqing Shen, Nan Chen, Liang Chen, Zhongkui Zhu
2018 J jnl
An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder.
Eng. Appl. Artif. Intell.
Changqing Shen, Yumei Qi, Jun Wang, Gaigai Cai, Zhongkui Zhu
2018 J jnl
Automatic instantaneous frequency order (IFO) extraction via integration strategy and multi-demodulation for bearing fault diagnosis under variable speed operation.
J. Intell. Fuzzy Syst.
Juanjuan Shi, Xingxing Jiang, Ming Liang, Rongmei Ding, Zhongkui Zhu
2018 — conf
Feature enhancement via balanced non-convex regularization for rotary machine fault diagnosis.
I2MTC
Lin Wang, Gaigai Cai, Zhongkui Zhu, Weiguo Huang
2018 J jnl
Image smoothing via a scale-aware filter and
IET Image Process.
Weiguo Huang, Wei Bi, Guanqi Gao, Yong Ping Zhang, Zhongkui Zhu
2017 — conf
A self-adaptive deep belief network with Nesterov momentum for the fault diagnosis of rolling element bearings.
ICDLT
Shenghao Tang, Wei You, Changqing Shen, Juanjuan Shi, Shuang Li, Zhongkui Zhu
2017 J jnl
Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery.
IEEE Access
Yumei Qi, Changqing Shen, Dong Wang, Juanjuan Shi, Xingxing Jiang, Zhongkui Zhu
2017 J jnl
Transients Extraction Based on Averaged Random Orthogonal Matching Pursuit Algorithm for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Lin Wang, Gaigai Cai, Wei You, Weiguo Huang, Zhongkui Zhu
2016 — conf
Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases.
I2MTC
Chunyan Luo, Changqing Shen, Wei You, Weiguo Huang, Gaigai Cai, Zhongkui Zhu
2015 J jnl
Shape matching and object recognition using common base triangle area.
IET Comput. Vis.
Dameng Hu, Weiguo Huang, Jianyu Yang, Li Shang, Zhongkui Zhu
2014 — conf
Adaptive discrete curve evolution for shape recognition.
ROBIO
Dameng Hu, Weiguo Huang, Li Shang, Zhongkui Zhu, Jianyu Yang
2014 J jnl
Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection.
Signal Process.
Haiyang Liu, Weiguo Huang, Shibin Wang, Zhongkui Zhu
2014 — conf
The Research of the Transient Feature Extraction by Resonance-Based Method Using Double-TQWT.
ICIC (1)
Weiwei Xiang, Gaigai Cai, Wei Fan, Weiguo Huang, Li Shang, Zhongkui Zhu
2013 — conf
Efficient object recognition method based on hierarchical representation.
ROBIO
Chao Gu, Weiguo Huang, Jin Tao, Li Shang, Zhongkui Zhu
2010 J jnl
Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection.
EURASIP J. Adv. Signal Process.
Shibin Wang, Zhongkui Zhu, Yingping He, Weiguo Huang
2010 — conf
Health Status Identification of Connecting Rod Bearing Based on Support Vector Machine.
CCTA (4)
Yongbin Liu, Qingbo He, Ping Zhang, Zhongkui Zhu, Fanrang Kong
2009 J jnl
Synchronous Enhancement of Periodic Transients on Polar Diagram for Machine Fault Diagnosis.
Int. J. Wavelets Multiresolution Inf. Process.
Zhongkui Zhu, Zhiyong He, Anzhu Wang, Shibin Wang