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Shunming Li
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2020 – today
- 2024
- [j25]Jiantao Lu
, Wei Wu, Xin Huang, Qitao Yin, Kuangzhi Yang, Shunming Li:
A modified active learning intelligent fault diagnosis method for rolling bearings with unbalanced samples. Adv. Eng. Informatics 60: 102397 (2024) - [j24]Lin He, Hengzhuang Shi
A CMOS Current Sensing Interface With Sub-pA DC Uncertainty. IEEE Trans. Circuits Syst. II Express Briefs 71(2): 508-512 (2024) - [j23]Siqi Gong
Nonlinear Blind Deconvolution Based on Generalized Normalized lp/lq Norm for Early Fault Detection. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - 2023
- [j22]Jiantao Lu
An Improved Underdetermined Blind Source Separation Method for Insufficiently Sparse Sources. Circuits Syst. Signal Process. 42(12): 7615-7639 (2023) - [j21]Jiantao Lu
Rolling Bearing Composite Fault Diagnosis Method Based on Enhanced Harmonic Vector Analysis. Sensors 23(11): 5115 (2023) - [c7]Zeyuan Li
Incremental Object Detection based on YOLO v5 and EWC Models. AIPR 2023: 452-457 - 2022
- [j20]Ranran Li
A Novel Symmetric Stacked Autoencoder for Adversarial Domain Adaptation Under Variable Speed. IEEE Access 10: 24678-24689 (2022) - [j19]Weiwei Qian
Adaptive nearest neighbor reconstruction with deep contractive sparse filtering for fault diagnosis of roller bearings. Eng. Appl. Artif. Intell. 111: 104749 (2022) - [j18]Yuzhe Hou, Shunming Li, Huijie Ma, Siqi Gong, Tianyi Yu:
Weak Signal Detection Based on Lifting Wavelet Threshold Denoising and Multi-Layer Autocorrelation Method. J. Commun. 17(11): 890-899 (2022) - [j17]Weiwei Qian
Deep Sparse Topology Network for Robust Bearing Fault Diagnosis by Maximizing Prior Knowledge Functions. IEEE Trans. Ind. Informatics 18(12): 8540-8550 (2022) - [c6]Cheng Zhang
Crowd-aware Black Pig Detection for Low Illumination. ICVIP 2022: 42-48 - 2021
- [j16]Weiwei Qian, Shunming Li, Tong Yao, Kun Xu:
Discriminative feature-based adaptive distribution alignment (DFADA) for rotating machine fault diagnosis under variable working conditions. Appl. Soft Comput. 99: 106886 (2021) - [j15]Kun Xu
A novel transfer diagnosis method under unbalanced sample based on discrete-peak joint attention enhancement mechanism. Knowl. Based Syst. 212: 106645 (2021) - 2020
- [j14]Zenghui An
Adaptive Cross-Domain Feature Extraction Method and Its Application on Machinery Intelligent Fault Diagnosis Under Different Working Conditions. IEEE Access 8: 535-546 (2020) - [j13]Zongzhen Zhang
A Novel Unsupervised Learning Method Based on Cross-Normalization for Machinery Fault Diagnosis. IEEE Access 8: 92407-92417 (2020) - [j12]Shunming Li
A Novel Data-Driven Fault Feature Separation Method and Its Application on Intelligent Fault Diagnosis Under Variable Working Conditions. IEEE Access 8: 113702-113712 (2020) - [j11]Zhongwei Zhang
A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition. Neurocomputing 376: 54-64 (2020) - [j10]Kun Xu
A renewable fusion fault diagnosis network for the variable speed conditions under unbalanced samples. Neurocomputing 379: 12-29 (2020) - [j9]Zhongwei Zhang
Sparse filtering based domain adaptation for mechanical fault diagnosis. Neurocomputing 393: 101-111 (2020) - [j8]Zongzhen Zhang
Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis. Neurocomputing 398: 31-44 (2020) - [c5]Huan Fu
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning. NeurIPS 2020 - [i1]Huan Fu, Shunming Li, Rongfei Jia, Mingming Gong, Binqiang Zhao, Dacheng Tao:
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning. CoRR abs/2010.12238 (2020)
2010 – 2019
- 2019
- [j7]Yu Xin
Adaptive Reinforced Empirical Morlet Wavelet Transform and Its Application in Fault Diagnosis of Rotating Machinery. IEEE Access 7: 65150-65162 (2019) - [j6]Jinrui Wang
Generalization of Deep Neural Networks for Imbalanced Fault Classification of Machinery Using Generative Adversarial Networks. IEEE Access 7: 111168-111180 (2019) - [j5]Jinrui Wang
Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines. Neurocomputing 329: 53-65 (2019) - [j4]Zenghui An
Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method. Neurocomputing 352: 42-53 (2019) - [j3]Weiwei Qian
Deep transfer network for rotating machine fault analysis. Pattern Recognit. 96 (2019) - 2018
- [j2]Weiwei Qian
A New Transfer Learning Method and its Application on Rotating Machine Fault Diagnosis Under Variant Working Conditions. IEEE Access 6: 69907-69917 (2018) - [j1]Weiwei Qian
A novel supervised sparse feature extraction method and its application on rotating machine fault diagnosis. Neurocomputing 320: 129-140 (2018) - 2010
- [c4]Shunming Li, Jianghui Xin, Mujin An, Yuanyuan Zhang:
Application of fuzzy logic and support vector machine to the control of exploration vehicle. ICNC 2010: 3479-3484
2000 – 2009
- 2008
- [c3]Xiuhua Men, Shunming Li, Zemin Zuo:
Analysis of Signal Transmission with Temperature-Dependent Electrical Parameters Using FDTD. CIS (1) 2008: 506-510 - 2007
- [c2]Jianghui Xin, Shunming Li, Qingbin Liao, Rixin Zhan:
The Application of Fuzzy Logic in Exploration Vehicle. FSKD (4) 2007: 199-203 - [c1]Shunming Li, Xianglei Chu:
Research on Fault Fuzzy Clustering Method for Reducing False Alarm by New Three States Demarcation. FSKD (4) 2007: 264-269
Coauthor Index
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last updated on 2024-08-05 21:23 CEST by the dblp team
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