Shunming Li
Orcid: 0000-0002-9170-2870
According to our database1,
Shunming Li
authored at least 32 papers
between 2007 and 2024.
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Bibliography
2024
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024
Nonlinear Blind Deconvolution Based on Generalized Normalized l<sub>p</sub>/l<sub>q</sub> Norm for Early Fault Detection.
IEEE Trans. Instrum. Meas., 2024
A modified active learning intelligent fault diagnosis method for rolling bearings with unbalanced samples.
Adv. Eng. Informatics, 2024
2023
An Improved Underdetermined Blind Source Separation Method for Insufficiently Sparse Sources.
Circuits Syst. Signal Process., December, 2023
Rolling Bearing Composite Fault Diagnosis Method Based on Enhanced Harmonic Vector Analysis.
Sensors, 2023
Proceedings of the 6th International Conference on Artificial Intelligence and Pattern Recognition, 2023
2022
Deep Sparse Topology Network for Robust Bearing Fault Diagnosis by Maximizing Prior Knowledge Functions.
IEEE Trans. Ind. Informatics, 2022
Weak Signal Detection Based on Lifting Wavelet Threshold Denoising and Multi-Layer Autocorrelation Method.
J. Commun., 2022
Adaptive nearest neighbor reconstruction with deep contractive sparse filtering for fault diagnosis of roller bearings.
Eng. Appl. Artif. Intell., 2022
A Novel Symmetric Stacked Autoencoder for Adversarial Domain Adaptation Under Variable Speed.
IEEE Access, 2022
Proceedings of the 6th International Conference on Video and Image Processing, 2022
2021
A novel transfer diagnosis method under unbalanced sample based on discrete-peak joint attention enhancement mechanism.
Knowl. Based Syst., 2021
Discriminative feature-based adaptive distribution alignment (DFADA) for rotating machine fault diagnosis under variable working conditions.
Appl. Soft Comput., 2021
2020
Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis.
Neurocomputing, 2020
A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition.
Neurocomputing, 2020
Neurocomputing, 2020
A renewable fusion fault diagnosis network for the variable speed conditions under unbalanced samples.
Neurocomputing, 2020
A Novel Unsupervised Learning Method Based on Cross-Normalization for Machinery Fault Diagnosis.
IEEE Access, 2020
A Novel Data-Driven Fault Feature Separation Method and Its Application on Intelligent Fault Diagnosis Under Variable Working Conditions.
IEEE Access, 2020
Adaptive Cross-Domain Feature Extraction Method and Its Application on Machinery Intelligent Fault Diagnosis Under Different Working Conditions.
IEEE Access, 2020
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines.
Neurocomputing, 2019
Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method.
Neurocomputing, 2019
Adaptive Reinforced Empirical Morlet Wavelet Transform and Its Application in Fault Diagnosis of Rotating Machinery.
IEEE Access, 2019
Generalization of Deep Neural Networks for Imbalanced Fault Classification of Machinery Using Generative Adversarial Networks.
IEEE Access, 2019
2018
A novel supervised sparse feature extraction method and its application on rotating machine fault diagnosis.
Neurocomputing, 2018
A New Transfer Learning Method and its Application on Rotating Machine Fault Diagnosis Under Variant Working Conditions.
IEEE Access, 2018
2010
Application of fuzzy logic and support vector machine to the control of exploration vehicle.
Proceedings of the Sixth International Conference on Natural Computation, 2010
2008
Analysis of Signal Transmission with Temperature-Dependent Electrical Parameters Using FDTD.
Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008
2007
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
Research on Fault Fuzzy Clustering Method for Reducing False Alarm by New Three States Demarcation.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007