Changqing Shen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 59

Top Topics

Rotating Machinery

Vibration Signal

Fault Diagnosis

Top Venues

IEEE Trans. Instrum. Meas.

Reliab. Eng. Syst. Saf.

Knowl. Based Syst.

Publications

Xiao Zhang, Weiguo Huang, Chuancang Ding, Jun Wang, Changqing Shen, Juanjuan Shi
Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis. Adv. Eng. Informatics 61 (2024)
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 (2024)
Qitong Chen, Liang Chen, Qi Li, Juanjuan Shi, Dong Wang, Changqing Shen
Metric Learning-Based Few-Shot Adversarial Domain Adaptation: A Cross-Machine Diagnosis Method for Ball Screws of Industrial Robots. IEEE Trans. Instrum. Meas. 73 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Qitong Chen, Qi Li, Sijia Wu, Liang Chen, Changqing Shen
Fault diagnosis for ball screws in industrial robots under variable and inaccessible working conditions with non-vibration signals. Adv. Eng. Informatics 62 (2024)
Jun Zhu, Yuanfan Wang, Cheng-Geng Huang, Changqing Shen, Bojian Chen
A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information. IEEE Trans. Instrum. Meas. 73 (2024)
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 (2024)
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) (2024)
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 (2023)
Yao Liu, Bojian Chen, Dong Wang, Lin Kong, Juanjuan Shi, Changqing Shen
A Lifelong Learning Method Based on Generative Feature Replay for Bearing Diagnosis With Incremental Fault Types. IEEE Trans. Instrum. Meas. 72 (2023)
Qi Li, Liang Chen, Lin Kong, Dong Wang, Min Xia, Changqing Shen
Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions. Reliab. Eng. Syst. Saf. 234 (2023)
Changqing Shen, Sihao Mao, Bingzhou Xu, Ziwei Wang, Xiaojian Zhang, Sijie Yan, Han Ding
Spiral Complete Coverage Path Planning Based on Conformal Slit Mapping in Multi-connected Domains. CoRR (2023)
Rui Wang, Weiguo Huang, Xiao Zhang, Jun Wang, Chuancang Ding, Changqing Shen
Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy. Knowl. Based Syst. 281 (2023)
Rui Wang, Weiguo Huang, Yixiang Lu, Xiao Zhang, Jun Wang, Chuancang Ding, Changqing Shen
A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions. Reliab. Eng. Syst. Saf. 238 (2023)
Zenghui An, Xingxing Jiang, Rui Yang, Hanyuan Zhang, Jie Liu, Changqing Shen
Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions. IEEE Trans. Ind. Informatics 19 (7) (2023)
Shilong Sun, Changqing Shen, Dong Wang
Editorial for Special Issue: Machine Health Monitoring and Fault Diagnosis Techniques. Sensors 23 (7) (2023)
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 (2023)
Shilong Sun, Haodong Huang, Tengyi Peng, Changqing Shen, Dong Wang
A Data Privacy Protection Diagnosis Framework for Multiple Machines Vibration Signals Based on a Swarm Learning Algorithm. IEEE Trans. Instrum. Meas. 72 (2023)
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 (2023)
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 (2023)
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 (2023)
Hanting Zhou, Wenhe Chen, Changqing Shen, Longsheng Cheng, Min Xia
Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN. Int. J. Prod. Res. 61 (23) (2023)
Jun Zhu, Cheng-Geng Huang, Changqing Shen, Yongjun Shen
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers. IEEE Trans. Ind. Informatics 18 (11) (2022)
Tongtong Yan, Yichu Fu, Ming Lu, Zhinong Li, Changqing Shen, Dong Wang
Integration of a Novel Knowledge-Guided Loss Function With an Architecturally Explainable Network for Machine Degradation Modeling. IEEE Trans. Instrum. Meas. 71 (2022)
Tengyi Peng, Changqing Shen, Shilong Sun, Dong Wang
Fault Feature Extractor Based on Bootstrap Your Own Latent and Data Augmentation Algorithm for Unlabeled Vibration Signals. IEEE Trans. Ind. Electron. 69 (9) (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
Bojian Chen, Chuancang Ding, Xingxing Jiang, Juanjuan Shi, Weiguo Huang, Changqing Shen
Lifelong Learning for Bearing Fault Diagnosis with Incremental Fault Types. ICPHM (2022)
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 (2022)
Liang Chen, Qi Li, Changqing Shen, Jun Zhu, Dong Wang, Min Xia
Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions. IEEE Trans. Ind. Informatics 18 (3) (2022)
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 (2021)
Yongxiang Li, Huixian Zhao, Wei Fan, Changqing Shen
Extended Noise Resistant Correlation Method for Period Estimation of Pseudoperiodic Signals. IEEE Trans. Instrum. Meas. 70 (2021)
Yongxiang Li, Huixian Zhao, Wei Fan, Changqing Shen
Generalized Autocorrelation Method for Fault Detection Under Varying-Speed Working Conditions. IEEE Trans. Instrum. Meas. 70 (2021)
Jun Zhu, Nan Chen, Changqing Shen
A New Multiple Source Domain Adaptation Fault Diagnosis Method Between Different Rotating Machines. IEEE Trans. Ind. Informatics 17 (7) (2021)
Haidong Shao, Wei Li, Min Xia, Yu Zhang, Changqing Shen, Darren Williams, Andrew Kennedy, Clarence W. de Silva
Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images. IEEE Trans. Instrum. Meas. 70 (2021)
Xin Li, Xiang Zhong, Haidong Shao, Te Han, Changqing Shen
Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression. Reliab. Eng. Syst. Saf. 216 (2021)
Changqing Shen, Xu Wang, Dong Wang, Yongxiang Li, Jun Zhu, Mingming Gong
Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions. IEEE Trans. Instrum. Meas. 70 (2021)
Ruixian Li, Li Zhuang, Yongxiang Li, Changqing Shen
Intelligent Bearing Fault Diagnosis Based on Scaled Ramanujan Filter Banks in Noisy Environments. IEEE Trans. Instrum. Meas. 70 (2021)
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 (2020)
Jun Zhu, Nan Chen, Changqing Shen, Dong Wang
Multi-source Unsupervised Domain Adaptation for Machinery Fault Diagnosis under Different Working Conditions. INDIN (2020)
Qi Li, Shuangjie Liu, Bingru Yang, Yiyun Xu, Liang Chen, Changqing Shen
Adversarial multi-domain adaptation for machine fault diagnosis with variable working conditions. INDIN (2020)
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 (2020)
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 (2019)
Tao Jiang, Jun Wang, Changqing Shen, Xingxing Jiang, Zhongkui Zhu
Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings. IEEE Access 7 (2019)
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 (2019)
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)
Dong Wang, Changqing Shen
Discovery of a Simplified Index Commonly Used in Various Algorithms for Quantification of Repetitive Transients. AIM (2019)
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 (2018)
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 (2018)
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 (2018)
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)
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 (2017)
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)
Fang Liu, Changqing Shen, Qingbo He, Ao Zhang, Yongbin Liu, Fanrang Kong
Wayside Bearing Fault Diagnosis Based on a Data-Driven Doppler Effect Eliminator and Transient Model Analysis. Sensors 14 (5) (2014)
Changqing Shen, Fang Liu, Dong Wang, Ao Zhang, Fanrang Kong, Peter W. Tse
A Doppler Transient Model Based on the Laplace Wavelet and Spectrum Correlation Assessment for Locomotive Bearing Fault Diagnosis. Sensors 13 (11) (2013)