Synchronous Enhancement of Periodic Transients on Polar Diagram for Machine Fault Diagnosis. - Zhongkui Zhu; Zhiyong He; Anzhu Wang; Shibin Wang (Int. J. Wavelets Multiresolution Inf. Process., 2009)

Health Status Identification of Connecting Rod Bearing Based on Support Vector Machine. - Yongbin Liu; Qingbo He; Ping Zhang; Zhongkui Zhu; Fanrang Kong (CCTA (4), 2010)

Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection. - Shibin Wang; Zhongkui Zhu; Yingping He; Weiguo Huang (EURASIP J. Adv. Signal Process., 2010)

Efficient object recognition method based on hierarchical representation. - Chao Gu; Weiguo Huang; Jin Tao; Li Shang; Zhongkui Zhu (ROBIO, 2013)

The Research of the Transient Feature Extraction by Resonance-Based Method Using Double-TQWT. - Weiwei Xiang; Gaigai Cai; Wei Fan 008; Weiguo Huang; Li Shang; Zhongkui Zhu (ICIC (1), 2014)

Adaptive discrete curve evolution for shape recognition. - Dameng Hu; Weiguo Huang; Li Shang; Zhongkui Zhu; Jianyu Yang 002 (ROBIO, 2014)

Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection. - Haiyang Liu; Weiguo Huang; Shibin Wang; Zhongkui Zhu (Signal Process., 2014)

Shape matching and object recognition using common base triangle area. - Dameng Hu; Weiguo Huang; Jianyu Yang 002; Li Shang; Zhongkui Zhu (IET Comput. Vis., 2015)

Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases. - Chunyan Luo; Changqing Shen; Wei You; Weiguo Huang; Gaigai Cai; Zhongkui Zhu (I2MTC, 2016)

A self-adaptive deep belief network with Nesterov momentum for the fault diagnosis of rolling element bearings. - Shenghao Tang; Wei You; Changqing Shen; Juanjuan Shi; Shuang Li; Zhongkui Zhu (ICDLT, 2017)

Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery. - Yumei Qi; Changqing Shen; Dong Wang 001; Juanjuan Shi; Xingxing Jiang; Zhongkui Zhu (IEEE Access, 2017)

Transients Extraction Based on Averaged Random Orthogonal Matching Pursuit Algorithm for Machinery Fault Diagnosis. - Lin Wang; Gaigai Cai; Wei You; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2017)

Feature enhancement via balanced non-convex regularization for rotary machine fault diagnosis. - Lin Wang; Gaigai Cai; Zhongkui Zhu; Weiguo Huang (I2MTC, 2018)

An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis. - Jiaqi Xie; Guifu Du; Changqing Shen; Nan Chen 002; Liang Chen; Zhongkui Zhu (IEEE Access, 2018)

An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder. - Changqing Shen; Yumei Qi; Jun Wang 026; Gaigai Cai; Zhongkui Zhu (Eng. Appl. Artif. Intell., 2018)

Image smoothing via a scale-aware filter and L 0 norm. - Weiguo Huang; Wei Bi; Guanqi Gao; Yong Ping Zhang; Zhongkui Zhu (IET Image Process., 2018)

Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis. - Shenghao Tang; Changqing Shen; Dong Wang 001; Shuang Li; Weiguo Huang; Zhongkui Zhu (Neurocomputing, 2018)

Automatic instantaneous frequency order (IFO) extraction via integration strategy and multi-demodulation for bearing fault diagnosis under variable speed operation. - Juanjuan Shi; Xingxing Jiang; Ming Liang; Rongmei Ding; Zhongkui Zhu (J. Intell. Fuzzy Syst., 2018)

A Wavelet-Based Statistical Approach for Monitoring and Diagnosis of Compound Faults With Application to Rolling Bearings. - Wei Fan 008; Qiang Zhou 002; Jian Li 023; Zhongkui Zhu (IEEE Trans Autom. Sci. Eng., 2018)

Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Gearbox Fault Diagnosis. - Yumei Qi; Changqing Shen; Juanjuan Shi; Weiguo Huang; Zhongkui Zhu (AIM, 2019)

A Coarse TF Ridge-Guided Multi-Band Feature Extraction Method for Bearing Fault Diagnosis Under Varying Speed Conditions. - Wenjun Guo; Xingxing Jiang; Ning Li 020; Juanjuan Shi; Zhongkui Zhu (IEEE Access, 2019)

Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings. - Tao Jiang; Jun Wang 026; Changqing Shen; Xingxing Jiang; Zhongkui Zhu (IEEE Access, 2019)

A New Deep Fusion Network for Automatic Mechanical Fault Feature Learning. - Yumei Qi; Changqing Shen; Jun Zhu 012; Xingxing Jiang; Juanjuan Shi; Zhongkui Zhu (IEEE Access, 2019)

Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds. - Juanjuan Shi; Weiguo Huang; Changqing Shen; Xingxing Jiang; Zhongkui Zhu (IEEE Access, 2019)

Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis. - Weiguo Huang; Guanqi Gao; Ning Li 020; Xingxing Jiang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2019)

Dual-Enhanced Sparse Decomposition for Wind Turbine Gearbox Fault Diagnosis. - Lin Wang; Gaigai Cai; Jun Wang 026; Xingxing Jiang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2019)

Matching Linear Chirplet Strategy-Based Synchroextracting Transform and Its Application to Rotating Machinery Fault Diagnosis. - Zehui Hua; Juanjuan Shi; Zhongkui Zhu (IEEE Access, 2020)

An Optimization Tendency Guiding Mode Decomposition Method for Bearing Fault Detection Under Varying Speed Conditions. - Xingxing Jiang; Wenjun Guo; Guifu Du; Juanjuan Shi; Zhongkui Zhu (IEEE Access, 2020)

Capacitor Voltage Ripple Minimization of a Modular Three-Phase AC/DC Power Electronics Transformer With Four-Winding Power Channel. - Xiaohui Li; Linqian Cheng; Liqun He; Zhongkui Zhu; Yong Yang; Cheng Wang 012 (IEEE Access, 2020)

An Intelligent Deep Feature Learning Method With Improved Activation Functions for Machine Fault Diagnosis. - Wei You; Changqing Shen; Dong Wang 001; Liang Chen; Xingxing Jiang; Zhongkui Zhu (IEEE Access, 2020)

An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis. - Haien Wang; Xingxing Jiang; Wenjun Guo; Juanjuan Shi; Zhongkui Zhu (Complex., 2020)

Multi-scale deep intra-class transfer learning for bearing fault diagnosis. - Xu Wang; Changqing Shen; Min Xia 001; Dong Wang 001; Jun Zhu 012; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2020)

Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis. - Weiguo Huang; Ning Li 020; Ivan W. Selesnick; Juanjuan Shi; Jun Wang 026; Lei Mao; Xingxing Jiang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2020)

Multiple Enhanced Sparse Decomposition for Gearbox Compound Fault Diagnosis. - Ning Li 020; Weiguo Huang; Wenjun Guo; Guanqi Gao; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2020)

An optimized discrete grey multi-variable convolution model and its applications. - Qin-Qin Shen; Yang Cao 014; Lin-Quan Yao; Zhongkui Zhu (Comput. Appl. Math., 2021)

Enhanced Sparse Regularization Based on Logarithm Penalty and Its Application to Gearbox Compound Fault Diagnosis. - Yi Liao; Weiguo Huang; Changqing Shen; Zhongkui Zhu; Jianping Xuan; Lingfeng Mao 001 (IEEE Trans. Instrum. Meas., 2021)

An Enhanced Sparse Filtering Fusion Method for Bearing Fault Diagnosis. - Demin Peng; Xingxing Jiang; Qiuyu Song; Zhongkui Zhu (ICPHM, 2022)

Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions. - Xuegang Li; Xingxing Jiang; Qian Wang; Lidong Yang; Zhijian Wang; Changqing Shen; Zhongkui Zhu (Knowl. Based Syst., 2022)

Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy. - Rui Wang 081; Weiguo Huang; Mingkuan Shi; Jun Wang 026; Changqing Shen; Zhongkui Zhu (Knowl. Based Syst., 2022)

A Lifelong Learning Method for Gearbox Diagnosis With Incremental Fault Types. - Bojian Chen; Changqing Shen; Dong Wang 001; Lin Kong; Liang Chen; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis. - Jingde Li; Changqing Shen; Lin Kong; Dong Wang 001; Min Xia 001; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

Dynamic Balanced Domain-Adversarial Networks for Cross-Domain Fault Diagnosis of Train Bearings. - He Ren; Jun Wang 026; Jun Dai; Zhongkui Zhu; Jinzhao Liu (IEEE Trans. Instrum. Meas., 2022)

Instantaneous Frequency Synchronized Generalized Stepwise Demodulation Transform for Bearing Fault Diagnosis. - Juanjuan Shi; Zehui Hua; Weiguo Huang; Patrick Dumond; Changqing Shen; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis. - Qiuyu Song; Xingxing Jiang; Jie Liu 017; Xin Wang 151; Guifu Du; Jianying Zheng; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

Self-Adaptive Multivariate Variational Mode Decomposition and Its Application for Bearing Fault Diagnosis. - Qiuyu Song; Xingxing Jiang; Shuang Wang; Jianfeng Guo; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

Multisource Domain Feature Adaptation Network for Bearing Fault Diagnosis Under Time-Varying Working Conditions. - Rui Wang 081; Weiguo Huang; Jun Wang 026; Changqing Shen; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

The Low-rank Double-scale Convolutional Neural Network for Parameter Identification of DC Bus Capacitor in Smart Transformer. - Xiaohui Li; Zhongkui Zhu; Liqun He; Yu-e Sun; Yu Chen 025 (IJCNN, 2023)

Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis. - Mingkuan Shi; Chuancang Ding; Rui Wang 081; Qiuyu Song; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Knowl. Based Syst., 2023)

Categorical Feature GAN for Imbalanced Intelligent Fault Diagnosis of Rotating Machinery. - Jun Dai; Jun Wang 026; Lin-Quan Yao; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2023)

Dual Contrastive Learning for Semi-Supervised Fault Diagnosis Under Extremely Low Label Rate. - Linghui Lu; Jun Wang 026; Weiguo Huang; Changqing Shen; Juanjuan Shi; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2023)

A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy. - Changqing Shen; Jing Tian; Jun Zhu 012; Juanjuan Shi; Zhongkui Zhu; Dong Wang 001 (IEEE Trans. Instrum. Meas., 2023)

Classifier Discrepancy Guided Soft-Weight Adaptation Network for Machinery Fault Diagnosis Under Domain and Category Shift. - Rui Wang 081; Weiguo Huang; Jun Wang 026; Chuancang Ding; Changqing Shen; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2023)

Double-Scale Convolutional Autoencoder and Extreme Learning Machine for Parameter Identification of DC Bus Capacitor in Power Electronic Transformer. - Xiaohui Li; Liqun He; Zhongkui Zhu; Cheng Wang 012; Juanjuan Shi; Guifu Du; Yu Chen 025 (IEEE Trans. Ind. Informatics, 2023)

Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery. - Mingkuan Shi; Chuancang Ding; Shuyuan Chang; Rui Wang 081; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2023)

Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis. - He Ren; Jun Wang 026; Weiguo Huang; Xingxing Jiang; Zhongkui Zhu (Eng. Appl. Artif. Intell., 2023)

Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery. - Mingkuan Shi; Chuancang Ding; Rui Wang 081; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2023)

A new feature boosting based continual learning method for bearing fault diagnosis with incremental fault types. - Zhenzhong He; Changqing Shen; Bojian Chen; Juanjuan Shi; Weiguo Huang; Zhongkui Zhu; Dong Wang 001 (Adv. Eng. Informatics, 2024)

Physics-informed unsupervised domain adaptation framework for cross-machine bearing fault diagnosis. - Ning Jia; Weiguo Huang; Chuancang Ding; Jun Wang 026; Zhongkui Zhu (Adv. Eng. Informatics, 2024)

Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis. - Xingxing Jiang; Qiuyu Song; Qian Wang; Wanliang Zhang; Chuancang Ding; Zhongkui Zhu (Adv. Eng. Informatics, 2024)

Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data. - Mingkuan Shi; Chuancang Ding; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2024)

Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments. - Yan Zhang 132; Changqing Shen; Xingli Zhong; Kai Chen; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2024)

Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples. - Mingkuan Shi; Chuancang Ding; Rui Wang 081; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Knowl. Based Syst., 2024)

Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments. - Yan Zhang 132; Changqing Shen; Juanjuan Shi; Chuan Li 003; Xinhai Lin; Zhongkui Zhu; Dong Wang 001 (Knowl. Based Syst., 2024)

Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis. - Hongyan Zhu; Changqing Shen; Lin Li; Dong Wang 001; Weiguo Huang; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2024)

Low-Rank Constrained Multikernel General Parameterized Time-Frequency Transform and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Condition. - Chuancang Ding; Baoxiang Wang 005; Xingxing Jiang; Guifu Du; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2024)

Point Rail of High-Speed Railway Turnout Induced Feature Extraction Using Oscillatory Behavior-Based Signal Sparse Decomposition. - Weizhen Liu; Miao Tang; Jinzhao Liu; Hangyuan Qin; Juanjuan Shi; Weiguo Huang; Changqing Shen; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2024)

Modified Feature Mode Decomposition Guided by Spectral Structure Information for Machinery Fault Diagnosis. - Tao Meng; Xingxing Jiang; Qiuyu Song; Zhihua Hu; Jianfeng Guo; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2024)

Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis. - Xingxing Jiang; Xuegang Li; Qian Wang; Qiuyu Song; Jie Liu 017; Zhongkui Zhu (Inf. Fusion, 2024)

Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis. - Jun Wang 026; He Ren; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2024)

Spectral structure inducing efficient variational model for enhancing bearing fault feature. - Xin Wang 151; Xingxing Jiang; Qiuyu Song; Jie Liu 017; Jianfeng Guo; Zhongkui Zhu (Signal Process., 2024)

Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions. - Mingkuan Shi; Chuancang Ding; Shuyuan Chang; Changqing Shen; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Ind. Informatics, 2024)

Partial Transfer Learning Method Based on Inter-Class Feature Transfer for Rolling Bearing Fault Diagnosis. - Hongbo Que; Xuyan Liu; Siqin Jin; Yaoyan Huo; Chengpan Wu; Chuancang Ding; Zhongkui Zhu (Sensors, 2024)

Auxiliary-feature-embedded causality-inspired dynamic penalty networks for open-set domain generalization diagnosis scenario. - Ning Jia; Weiguo Huang; Chuancang Ding; Yifan Huangfu; Juanjuan Shi; Zhongkui Zhu (Adv. Eng. Informatics, 2025)

CDARNet: A robust cross-dimensional adaptive region reconstruction network for real-time metal surface defect segmentation. - Qiancheng Li; Chuancang Ding; Baoxiang Wang 005; Jinyang Jiao; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2025)

A new lifelong learning method based on dual distillation for bearing diagnosis with incremental fault types. - Shijun Xie; Changqing Shen; Dong Wang 001; Juanjuan Shi; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2025)

A new adaptive representation dual classifier residual network for continuous fault diagnosis of rotating machinery with domain increments. - Yan Zhang 132; Changqing Shen; Hao Yang; Juanjuan Shi; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2025)

Semi-supervised feature contrast incremental learning framework for bearing fault diagnosis with limited labeled samples. - Xuyang Tao; Changqing Shen; Lin Li; Dong Wang 001; Juanjuan Shi; Zhongkui Zhu (Appl. Soft Comput., 2025)

Universal multimodal aggregation network with adaptive enhancement and semantic guidance for salient object detection. - Qiancheng Li; Chuancang Ding; Baoxiang Wang 005; Jun Wang 026; Weiguo Huang; Zhongkui Zhu (Eng. Appl. Artif. Intell., 2025)

Spectral feature-informed difference multi-modes decomposition for compound bearing fault diagnosis. - Tao Meng; Xingxing Jiang; Shangkuo Yang; Jie Liu 031; Hao Gao; Zhongkui Zhu (Expert Syst. Appl., 2025)

Comprehensive feature integrated capsule network for Machinery fault diagnosis. - Huangkun Xing; Xingxing Jiang; Qiuyu Song; Qian Wang; Jie Liu 017; Zhongkui Zhu (Expert Syst. Appl., 2025)

Self-supervised progressive learning for fault diagnosis under limited labeled data and varying conditions. - Qiuyu Song; Lidong Yang; Xingxing Jiang; Zhongkui Zhu (Neurocomputing, 2025)

A physics-guided memory enhancement and causality-inspired generalization framework for continual fault diagnosis. - Ning Jia; Weiguo Huang; Panpan Guo; Chuancang Ding; Yifan Huangfu; Changqing Shen; Zhongkui Zhu (Knowl. Based Syst., 2025)

Class-aware quantitative adversarial network: a novel partial-set transfer mechanism for cross-domain fault diagnosis of rotating machinery. - Yanlin Zhou; Chuancang Ding; Mingkuan Shi; Hongbo Que; Yifan Huangfu; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Knowl. Based Syst., 2025)

ST-GMLP: A concise spatial-temporal framework based on gated multi-layer perceptron for traffic flow forecasting. - Yong Luo; Jianying Zheng; Xiang Wang; Wenjuan E; Xingxing Jiang; Zhongkui Zhu (Neural Networks, 2025)

PC3Net: A prior-causal contrast-collaboration network for single domain generalization fault diagnosis. - Ning Jia; Weiguo Huang; Chuancang Ding; Jun Wang 026; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2025)

Adaptive variational sampling-embedded domain generalization network for fault diagnosis with intra-inter-domain class imbalance. - Xiao Zhang; Weiguo Huang; Jun Wang 026; Zhongkui Zhu; Changqing Shen; Kai Chen; Xingli Zhong; Li He (Reliab. Eng. Syst. Saf., 2025)

Interpretable Transfer Unrolling Network for Intelligent Cross-Domain Condition Monitoring of Rotating Machinery. - Kai Chen; Chuancang Ding; Baoxiang Wang 005; Jun Wang 026; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2025)

Low-Rank Informed Adaptive Chirp Mode Decomposition and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Conditions. - Chuancang Ding; Xiaoting Huang; Baoxiang Wang 005; Xuan Li; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2025)

Imbalanced Partial Transfer Network for Intelligent Machine Fault Diagnosis. - Chuancang Ding; Yanlin Zhou; Xuyan Liu; Baoxiang Wang 005; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2025)

Hybrid Constraints Embedding Variational Nonlinear Chirp Mode Decomposition for Rotating Machine Fault Diagnosis Under Time-Varying Speed Conditions. - Xiaoting Huang; Chuancang Ding; Di Cheng; Baoxiang Wang 005; Xingxing Jiang; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2025)

Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis. - Qiuyu Song; Xingxing Jiang; Jie Liu 017; Juanjuan Shi; Zhongkui Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)