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Journal Articles
- 2025
[j63]Huangkun Xing
, Xingxing Jiang, Qiuyu Song, Qian Wang, Jie Liu, Zhongkui Zhu:
Comprehensive feature integrated capsule network for Machinery fault diagnosis. Expert Syst. Appl. 260: 125450 (2025)- 2024
- [j62]Zhenzhong He, Changqing Shen, Bojian Chen, Juanjuan Shi, Weiguo Huang, Zhongkui Zhu, Dong Wang:
A new feature boosting based continual learning method for bearing fault diagnosis with incremental fault types. Adv. Eng. Informatics 61: 102469 (2024) - [j61]Xingxing Jiang, Qiuyu Song, Qian Wang, Wanliang Zhang, Chuancang Ding, Zhongkui Zhu:
Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis. Adv. Eng. Informatics 61: 102494 (2024) - [j60]Yan Zhang, Changqing Shen, Xingli Zhong, Kai Chen, Weiguo Huang, Zhongkui Zhu:
Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments. Adv. Eng. Informatics 62: 102715 (2024) - [j59]Ning Jia, Weiguo Huang, Chuancang Ding, Jun Wang, Zhongkui Zhu:
Physics-informed unsupervised domain adaptation framework for cross-machine bearing fault diagnosis. Adv. Eng. Informatics 62: 102774 (2024) - [j58]Mingkuan Shi, Chuancang Ding, Changqing Shen, Weiguo Huang, Zhongkui Zhu:
Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data. Adv. Eng. Informatics 62: 102832 (2024) - [j57]Xingxing Jiang, Xuegang Li, Qian Wang, Qiuyu Song, Jie Liu, Zhongkui Zhu:
Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis. Inf. Fusion 101: 102005 (2024) - [j56]Mingkuan Shi, Chuancang Ding, Rui Wang, Changqing Shen, Weiguo Huang, Zhongkui Zhu:
Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples. Knowl. Based Syst. 286: 111397 (2024) - [j55]Yan Zhang, Changqing Shen, Juanjuan Shi, Chuan Li, Xinhai Lin, Zhongkui Zhu, Dong Wang:
Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments. Knowl. Based Syst. 293: 111679 (2024) - [j54]Jun Wang, He Ren, Changqing Shen, Weiguo Huang, Zhongkui Zhu:
Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis. Reliab. Eng. Syst. Saf. 243: 109879 (2024) - [j53]Hongyan Zhu, Changqing Shen, Lin Li, Dong Wang, Weiguo Huang, Zhongkui Zhu:
Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis. Reliab. Eng. Syst. Saf. 252: 110433 (2024) - [j52]Hongbo Que, Xuyan Liu, Siqin Jin, Yaoyan Huo, Chengpan Wu, Chuancang Ding, Zhongkui Zhu:
Partial Transfer Learning Method Based on Inter-Class Feature Transfer for Rolling Bearing Fault Diagnosis. Sensors 24(16): 5165 (2024) - [j51]Xin Wang, Xingxing Jiang, Qiuyu Song, Jie Liu, Jianfeng Guo, Zhongkui Zhu:
Spectral structure inducing efficient variational model for enhancing bearing fault feature. Signal Process. 216: 109304 (2024) - [j50]Mingkuan Shi, Chuancang Ding, Shuyuan Chang, Changqing Shen, Weiguo Huang, Zhongkui Zhu:
Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions. IEEE Trans. Ind. Informatics 20(4): 6356-6368 (2024) - [j49]Chuancang Ding, Baoxiang Wang, Xingxing Jiang, Guifu Du, Weiguo Huang, Zhongkui Zhu:
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. 73: 1-12 (2024) - [j48]Weizhen Liu, Miao Tang, Jinzhao Liu, Hangyuan Qin, Juanjuan Shi, Weiguo Huang, Changqing Shen, Zhongkui Zhu:
Point Rail of High-Speed Railway Turnout Induced Feature Extraction Using Oscillatory Behavior-Based Signal Sparse Decomposition. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j47]Tao Meng, Xingxing Jiang, Qiuyu Song, Zhihua Hu, Jianfeng Guo, Zhongkui Zhu:
Modified Feature Mode Decomposition Guided by Spectral Structure Information for Machinery Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - 2023
- [j46]Mingkuan Shi, Chuancang Ding, Shuyuan Chang, Rui Wang, Weiguo Huang, Zhongkui Zhu:
Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery. Adv. Eng. Informatics 58: 102157 (2023) - [j45]He Ren, Jun Wang, Weiguo Huang, Xingxing Jiang, Zhongkui Zhu:
Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis. Eng. Appl. Artif. Intell. 126(Part D): 107117 (2023) - [j44]Mingkuan Shi, Chuancang Ding, Rui Wang, Qiuyu Song, Changqing Shen, Weiguo Huang, Zhongkui Zhu:
Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis. Knowl. Based Syst. 260: 110172 (2023) - [j43]Mingkuan Shi, Chuancang Ding, Rui Wang, Changqing Shen, Weiguo Huang, Zhongkui Zhu:
Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery. Reliab. Eng. Syst. Saf. 240: 109601 (2023) - [j42]Xiaohui Li, Liqun He, Zhongkui Zhu, Cheng Wang, Juanjuan Shi, Guifu Du, Yu Chen:
Double-Scale Convolutional Autoencoder and Extreme Learning Machine for Parameter Identification of DC Bus Capacitor in Power Electronic Transformer. IEEE Trans. Ind. Informatics 19(8): 9102-9112 (2023) - [j41]Jun Dai, Jun Wang, Lin-Quan Yao, Weiguo Huang, Zhongkui Zhu:
Categorical Feature GAN for Imbalanced Intelligent Fault Diagnosis of Rotating Machinery. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j40]Linghui Lu, Jun Wang, Weiguo Huang, Changqing Shen, Juanjuan Shi, Zhongkui Zhu:
Dual Contrastive Learning for Semi-Supervised Fault Diagnosis Under Extremely Low Label Rate. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j39]Changqing Shen, Jing Tian, Jun Zhu, Juanjuan Shi, Zhongkui Zhu, Dong Wang:
A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j38]Rui Wang, Weiguo Huang, Jun Wang, Chuancang Ding, Changqing Shen, Zhongkui Zhu:
Classifier Discrepancy Guided Soft-Weight Adaptation Network for Machinery Fault Diagnosis Under Domain and Category Shift. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - 2022
- [j37]Xuegang Li, Xingxing Jiang, Qian Wang, Lidong Yang, Zhijian Wang, Changqing Shen, Zhongkui Zhu:
Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions. Knowl. Based Syst. 243: 108443 (2022) - [j36]Rui Wang, Weiguo Huang, Mingkuan Shi, Jun Wang, Changqing Shen, Zhongkui Zhu:
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy. Knowl. Based Syst. 256: 109880 (2022) - [j35]Bojian Chen, Changqing Shen, Dong Wang, Lin Kong, Liang Chen, Zhongkui Zhu:
A Lifelong Learning Method for Gearbox Diagnosis With Incremental Fault Types. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j34]Jingde Li, Changqing Shen, Lin Kong, Dong Wang, Min Xia, Zhongkui Zhu:
A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j33]He Ren, Jun Wang, Jun Dai, Zhongkui Zhu, Jinzhao Liu:
Dynamic Balanced Domain-Adversarial Networks for Cross-Domain Fault Diagnosis of Train Bearings. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j32]Juanjuan Shi, Zehui Hua, Weiguo Huang, Patrick Dumond, Changqing Shen, Zhongkui Zhu:
Instantaneous Frequency Synchronized Generalized Stepwise Demodulation Transform for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-15 (2022) - [j31]Qiuyu Song, Xingxing Jiang, Jie Liu, Xin Wang, Guifu Du, Jianying Zheng, Zhongkui Zhu:
Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j30]Qiuyu Song, Xingxing Jiang, Shuang Wang, Jianfeng Guo, Weiguo Huang, Zhongkui Zhu:
Self-Adaptive Multivariate Variational Mode Decomposition and Its Application for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j29]Rui Wang, Weiguo Huang, Jun Wang, Changqing Shen, Zhongkui Zhu:
Multisource Domain Feature Adaptation Network for Bearing Fault Diagnosis Under Time-Varying Working Conditions. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - 2021
- [j28]Qin-Qin Shen, Yang Cao, Lin-Quan Yao, Zhongkui Zhu:
An optimized discrete grey multi-variable convolution model and its applications. Comput. Appl. Math. 40(2) (2021) - [j27]Yi Liao, Weiguo Huang, Changqing Shen, Zhongkui Zhu, Jianping Xuan, Lingfeng Mao:
Enhanced Sparse Regularization Based on Logarithm Penalty and Its Application to Gearbox Compound Fault Diagnosis. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - 2020
- [j26]Wei You, Changqing Shen, Dong Wang, Liang Chen, Xingxing Jiang, Zhongkui Zhu:
An Intelligent Deep Feature Learning Method With Improved Activation Functions for Machine Fault Diagnosis. IEEE Access 8: 1975-1985 (2020) - [j25]Xingxing Jiang, Wenjun Guo, Guifu Du, Juanjuan Shi, Zhongkui Zhu:
An Optimization Tendency Guiding Mode Decomposition Method for Bearing Fault Detection Under Varying Speed Conditions. IEEE Access 8: 27949-27960 (2020) - [j24]Xiaohui Li, Linqian Cheng, Liqun He, Zhongkui Zhu, Yong Yang, Cheng Wang:
Capacitor Voltage Ripple Minimization of a Modular Three-Phase AC/DC Power Electronics Transformer With Four-Winding Power Channel. IEEE Access 8: 119594-119608 (2020) - [j23]Zehui Hua, Juanjuan Shi, Zhongkui Zhu:
Matching Linear Chirplet Strategy-Based Synchroextracting Transform and Its Application to Rotating Machinery Fault Diagnosis. IEEE Access 8: 185725-185737 (2020) - [j22]Haien Wang, Xingxing Jiang, Wenjun Guo, Juanjuan Shi, Zhongkui Zhu:
An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis. Complex. 2020: 5162916:1-5162916:23 (2020) - [j21]Xu Wang, Changqing Shen, Min Xia, Dong Wang, Jun Zhu, Zhongkui Zhu:
Multi-scale deep intra-class transfer learning for bearing fault diagnosis. Reliab. Eng. Syst. Saf. 202: 107050 (2020) - [j20]Ning Li, Weiguo Huang, Wenjun Guo, Guanqi Gao, Zhongkui Zhu:
Multiple Enhanced Sparse Decomposition for Gearbox Compound Fault Diagnosis. IEEE Trans. Instrum. Meas. 69(3): 770-781 (2020) - [j19]Weiguo Huang, Ning Li, Ivan W. Selesnick, Juanjuan Shi, Jun Wang, Lei Mao, Xingxing Jiang, Zhongkui Zhu:
Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 69(7): 4863-4872 (2020) - 2019
- [j18]Wenjun Guo, Xingxing Jiang, Ning Li, Juanjuan Shi, Zhongkui Zhu:
A Coarse TF Ridge-Guided Multi-Band Feature Extraction Method for Bearing Fault Diagnosis Under Varying Speed Conditions. IEEE Access 7: 18293-18310 (2019) - [j17]Juanjuan Shi, Weiguo Huang, Changqing Shen, Xingxing Jiang, Zhongkui Zhu:
Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds. IEEE Access 7: 144995-145012 (2019) - [j16]Yumei Qi, Changqing Shen, Jun Zhu, Xingxing Jiang, Juanjuan Shi, Zhongkui Zhu:
A New Deep Fusion Network for Automatic Mechanical Fault Feature Learning. IEEE Access 7: 152552-152563 (2019) - [j15]Tao Jiang, Jun Wang, Changqing Shen, Xingxing Jiang, Zhongkui Zhu:
Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings. IEEE Access 7: 179620-179633 (2019) - [j14]Lin Wang, Gaigai Cai, Jun Wang, Xingxing Jiang, Zhongkui Zhu:
Dual-Enhanced Sparse Decomposition for Wind Turbine Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. 68(2): 450-461 (2019) - [j13]Weiguo Huang, Guanqi Gao, Ning Li, Xingxing Jiang, Zhongkui Zhu:
Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 68(8): 2819-2829 (2019) - 2018
- [j12]Jiaqi Xie, Guifu Du, Changqing Shen, Nan Chen, Liang Chen, Zhongkui Zhu:
An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis. IEEE Access 6: 63584-63596 (2018) - [j11]Changqing Shen, Yumei Qi, Jun Wang, Gaigai Cai, Zhongkui Zhu:
An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder. Eng. Appl. Artif. Intell. 76: 170-184 (2018) - [j10]Weiguo Huang, Wei Bi, Guanqi Gao, Yong Ping Zhang, Zhongkui Zhu:
Image smoothing via a scale-aware filter and L 0 norm. IET Image Process. 12(9): 1511-1518 (2018) - [j9]Shenghao Tang, Changqing Shen, Dong Wang, Shuang Li, Weiguo Huang, Zhongkui Zhu:
Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis. Neurocomputing 305: 1-14 (2018) - [j8]Juanjuan Shi, Xingxing Jiang, Ming Liang, Rongmei Ding, Zhongkui Zhu:
Automatic instantaneous frequency order (IFO) extraction via integration strategy and multi-demodulation for bearing fault diagnosis under variable speed operation. J. Intell. Fuzzy Syst. 34(6): 3547-3563 (2018) - [j7]Wei Fan, Qiang Zhou, Jian Li, Zhongkui Zhu:
A Wavelet-Based Statistical Approach for Monitoring and Diagnosis of Compound Faults With Application to Rolling Bearings. IEEE Trans Autom. Sci. Eng. 15(4): 1563-1572 (2018) - 2017
- [j6]Yumei Qi, Changqing Shen, Dong Wang, Juanjuan Shi, Xingxing Jiang, Zhongkui Zhu:
Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery. IEEE Access 5: 15066-15079 (2017) - [j5]Lin Wang, Gaigai Cai, Wei You, Weiguo Huang, Zhongkui Zhu:
Transients Extraction Based on Averaged Random Orthogonal Matching Pursuit Algorithm for Machinery Fault Diagnosis. IEEE Trans. Instrum. Meas. 66(12): 3237-3248 (2017) - 2015
- [j4]Dameng Hu, Weiguo Huang, Jianyu Yang, Li Shang, Zhongkui Zhu:
Shape matching and object recognition using common base triangle area. IET Comput. Vis. 9(5): 769-778 (2015) - 2014
- [j3]Haiyang Liu, Weiguo Huang, Shibin Wang, Zhongkui Zhu:
Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection. Signal Process. 96: 118-124 (2014) - 2010
- [j2]Shibin Wang, Zhongkui Zhu, Yingping He, Weiguo Huang:
Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection. EURASIP J. Adv. Signal Process. 2010 (2010) - 2009
- [j1]Zhongkui Zhu, Zhiyong He, Anzhu Wang, Shibin Wang:
Synchronous Enhancement of Periodic Transients on Polar Diagram for Machine Fault Diagnosis. Int. J. Wavelets Multiresolution Inf. Process. 7(4): 427-442 (2009)
Conference and Workshop Papers
- 2023
- [c10]Xiaohui Li, Zhongkui Zhu, Liqun He, Yu-e Sun, Yu Chen:
The Low-rank Double-scale Convolutional Neural Network for Parameter Identification of DC Bus Capacitor in Smart Transformer. IJCNN 2023: 1-8 - 2022
- [c9]Demin Peng, Xingxing Jiang, Qiuyu Song, Zhongkui Zhu:
An Enhanced Sparse Filtering Fusion Method for Bearing Fault Diagnosis. ICPHM 2022: 203-208 - 2019
- [c8]Yumei Qi, Changqing Shen, Juanjuan Shi, Weiguo Huang, Zhongkui Zhu:
Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Gearbox Fault Diagnosis. AIM 2019: 868-872 - 2018
- [c7]Lin Wang, Gaigai Cai, Zhongkui Zhu, Weiguo Huang:
Feature enhancement via balanced non-convex regularization for rotary machine fault diagnosis. I2MTC 2018: 1-6 - 2017
- [c6]Shenghao Tang, Wei You, Changqing Shen, Juanjuan Shi, Shuang Li, Zhongkui Zhu:
A self-adaptive deep belief network with Nesterov momentum for the fault diagnosis of rolling element bearings. ICDLT 2017: 1-5 - 2016
- [c5]Chunyan Luo, Changqing Shen, Wei You, Weiguo Huang, Gaigai Cai, Zhongkui Zhu:
Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases. I2MTC 2016: 1-5 - 2014
- [c4]Weiwei Xiang, Gaigai Cai, Wei Fan, Weiguo Huang, Li Shang, Zhongkui Zhu:
The Research of the Transient Feature Extraction by Resonance-Based Method Using Double-TQWT. ICIC (1) 2014: 684-692 - [c3]Dameng Hu, Weiguo Huang, Li Shang, Zhongkui Zhu, Jianyu Yang:
Adaptive discrete curve evolution for shape recognition. ROBIO 2014: 481-486 - 2013
- [c2]Chao Gu, Weiguo Huang, Jin Tao, Li Shang, Zhongkui Zhu:
Efficient object recognition method based on hierarchical representation. ROBIO 2013: 358-363 - 2010
- [c1]Yongbin Liu, Qingbo He, Ping Zhang, Zhongkui Zhu, Fanrang Kong:
Health Status Identification of Connecting Rod Bearing Based on Support Vector Machine. CCTA (4) 2010: 206-214
Coauthor Index
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