Qing Li
Orcid: 0000-0001-7170-4679Affiliations:
- Donghua University, College of Mechanical Engineering, Shanghai, China (PhD 2017)
According to our database1,
Qing Li
authored at least 17 papers
between 2016 and 2024.
Collaborative distances:
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Online presence:
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on orcid.org
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Bibliography
2024
Fault Diagnosis of Gearbox Based on Cross-Domain Transfer Learning With Fine-Tuning Mechanism Using Unbalanced Samples.
IEEE Trans. Instrum. Meas., 2024
Generative adversarial networks for prognostic and health management of industrial systems: A review.
Expert Syst. Appl., 2024
2023
A comprehensive survey of sparse regularization: Fundamental, state-of-the-art methodologies and applications on fault diagnosis.
Expert Syst. Appl., November, 2023
2022
A New Fractional-Order Augmented Quaternion-Valued Approach for Degradation Prognostics of Bearings Using Generalized Hamilton-Real Calculus.
IEEE Trans. Instrum. Meas., 2022
New Approach for Bearing Fault Diagnosis Based on Fractional Spatio-Temporal Sparse Low Rank Matrix Under Multichannel Time-Varying Speed Condition.
IEEE Trans. Instrum. Meas., 2022
2020
Correction: Li, Q.; Liang, S.Y. Incipient Fault Diagnosis of Rolling Bearings Based on Impulse-Step Impact Dictionary and Re-Weighted Minimizing Nonconvex Penalty Lq Regular Technique. Entropy 2017, 19, 421.
Entropy, 2020
2018
Weak Fault Detection for Gearboxes Using Majorization-Minimization and Asymmetric Convex Penalty Regularization.
Symmetry, 2018
Intelligent Prognostics of Degradation Trajectories for Rotating Machinery Based on Asymmetric Penalty Sparse Decomposition Model.
Symmetry, 2018
Multichannel Signals Reconstruction Based on Tunable <i>Q</i>-Factor Wavelet Transform-Morphological Component Analysis and Sparse Bayesian Iteration for Rotating Machines.
Entropy, 2018
Weak Fault Detection of Tapered Rolling Bearing Based on Penalty Regularization Approach.
Algorithms, 2018
Degradation Trend Prediction for Rotating Machinery Using Long-Range Dependence and Particle Filter Approach.
Algorithms, 2018
Prognosis of Bearing Degradation Using Gradient Variable Forgetting Factor RLS Combined With Time Series Model.
IEEE Access, 2018
Multiple Faults Detection for Rotating Machinery Based on Bicomponent Sparse Low-Rank Matrix Separation Approach.
IEEE Access, 2018
Degradation Trend Prognostics for Rolling Bearing Using Improved R/S Statistic Model and Fractional Brownian Motion Approach.
IEEE Access, 2018
2017
Incipient Fault Diagnosis of Rolling Bearings Based on Impulse-Step Impact Dictionary and Re-Weighted Minimizing Nonconvex Penalty Lq Regular Technique.
Entropy, 2017
Incipient Fault Feature Extraction for Rotating Machinery Based on Improved AR-Minimum Entropy Deconvolution Combined with Variational Mode Decomposition Approach.
Entropy, 2017
2016
Long Range Dependence Prognostics for Bearing Vibration Intensity Chaotic Time Series.
Entropy, 2016